diff --git a/.github/workflows/gh-pages.yml b/.github/workflows/gh-pages.yml
new file mode 100644
index 00000000..db8c9c32
--- /dev/null
+++ b/.github/workflows/gh-pages.yml
@@ -0,0 +1,60 @@
+name: Docs
+on:
+  push:
+    branches:
+      - main
+  pull_request:
+    branches:
+      - '*'
+
+permissions:
+  contents: write
+
+jobs:
+  build-docs:
+    # When running on a PR, this just checks we can build the docs without errors
+    # When running on merge to main, it builds the docs and then another job deploys them
+    name: ${{ github.event_name == 'pull_request' && 'Check Build Docs' || 'Build Docs' }}
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+      - name: Install Poetry
+        uses: snok/install-poetry@v1
+      - name: Set up Python
+        uses: actions/setup-python@v4
+        with:
+          python-version: "3.11"
+          cache: "poetry"
+      - name: Install poe
+        run: pip install poethepoet
+      - name: Install mkdocs
+        run: pip install mkdocs
+      - name: Install dependencies
+        run: poetry install --with docs
+      - name: Build Docs
+        run: poe make-docs
+      - name: Upload Docs Artifact
+        uses: actions/upload-artifact@v3
+        with:
+          name: documentation
+          path: docs/build
+
+  deploy-docs:
+    name: Deploy Docs
+    runs-on: ubuntu-latest
+    # Only run if merging a PR into main
+    if: github.event_name == 'push' && github.ref == 'refs/heads/main'
+    needs: build-docs
+    steps:
+      - uses: actions/checkout@v4
+      - name: Download Docs Artifact
+        uses: actions/download-artifact@v3
+        with:
+          name: documentation
+          path: docs/build
+      - name: Upload to GitHub Pages
+        uses: JamesIves/github-pages-deploy-action@v4
+        with:
+          folder: docs/build
+          clean-exclude: |
+            *.*.*/
diff --git a/.gitignore b/.gitignore
index 07c64927..4dd4b684 100644
--- a/.gitignore
+++ b/.gitignore
@@ -52,6 +52,10 @@ coverage.xml
 .hypothesis/
 .pytest_cache/
 
+# Docs stuff
+docs/content/reference
+docs/generated
+
 # Translations
 *.mo
 *.pot
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 98fe2580..477bf407 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -18,13 +18,13 @@ repos:
     hooks:
       - id: ruff_lint
         name: Ruff Lint
-        entry: poetry run ruff check sparse_autoencoder
+        entry: poetry run ruff check sparse_autoencoder --fix
         language: system
         types: [python]
         require_serial: true
       - id: ruff_format
         name: Ruff Format
-        entry: poetry run ruff format sparse_autoencoder --check
+        entry: poetry run ruff format sparse_autoencoder --check --diff
         language: system
         types: [python]
         require_serial: true
diff --git a/benchmarks.ipynb b/benchmarks.ipynb
index dd3c53b8..584b0c45 100644
--- a/benchmarks.ipynb
+++ b/benchmarks.ipynb
@@ -238,22 +238,22 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "num_items: int = 1_000_000\n",
-    "num_neurons: int = 2048\n",
+    "# num_items: int = 1_000_000\n",
+    "# num_neurons: int = 2048\n",
     "\n",
     "\n",
-    "def create_dummy_activations(\n",
-    "    n_items: int, n_neurons: int\n",
-    ") -> list[Float[Tensor, \"batch neurons\"]]:\n",
-    "    \"\"\"Create Dummy Activations for Benchmarks.\"\"\"\n",
-    "    batch_size = 1_000\n",
-    "    n_batches = int(n_items // batch_size)\n",
-    "    activations = [torch.rand(batch_size, n_neurons) for _ in range(n_batches)]\n",
-    "    return activations\n",
+    "# def create_dummy_activations(\n",
+    "#     n_items: int, n_neurons: int\n",
+    "# ) -> list[Float[Tensor, \"batch neurons\"]]:\n",
+    "#     \"\"\"Create Dummy Activations for Benchmarks.\"\"\"\n",
+    "#     batch_size = 1_000\n",
+    "#     n_batches = int(n_items // batch_size)\n",
+    "#     activations = [torch.rand(batch_size, n_neurons) for _ in range(n_batches)]\n",
+    "#     return activations\n",
     "\n",
     "\n",
-    "dummy_activations = create_dummy_activations(num_items, num_neurons)\n",
-    "dummy_activations[0].shape"
+    "# dummy_activations = create_dummy_activations(num_items, num_neurons)\n",
+    "# dummy_activations[0].shape"
    ]
   },
   {
@@ -262,19 +262,19 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "benchmarks_to_run = {\n",
-    "    \"GPU Tensor\": TensorActivationStore(\n",
-    "        max_items=num_items, num_neurons=num_neurons, device=torch.device(\"cuda\")\n",
-    "    ),\n",
-    "    \"CPU Tensor\": TensorActivationStore(\n",
-    "        max_items=num_items, num_neurons=num_neurons, device=torch.device(\"cpu\")\n",
-    "    ),\n",
-    "    \"CPU List, No Multiprocessing\": ListActivationStore(),\n",
-    "    \"CPU List, Multiprocessing (multiple GPUs)\": ListActivationStore(\n",
-    "        multiprocessing_enabled=True\n",
-    "    ),\n",
-    "    \"Disk\": DiskActivationStore(empty_dir=True, max_cache_size=100_000),\n",
-    "}"
+    "# benchmarks_to_run = {\n",
+    "#     \"GPU Tensor\": TensorActivationStore(\n",
+    "#         max_items=num_items, num_neurons=num_neurons, device=torch.device(\"cuda\")\n",
+    "#     ),\n",
+    "#     \"CPU Tensor\": TensorActivationStore(\n",
+    "#         max_items=num_items, num_neurons=num_neurons, device=torch.device(\"cpu\")\n",
+    "#     ),\n",
+    "#     \"CPU List, No Multiprocessing\": ListActivationStore(),\n",
+    "#     \"CPU List, Multiprocessing (multiple GPUs)\": ListActivationStore(\n",
+    "#         multiprocessing_enabled=True\n",
+    "#     ),\n",
+    "#     \"Disk\": DiskActivationStore(empty_dir=True, max_cache_size=100_000),\n",
+    "# }"
    ]
   },
   {
@@ -298,21 +298,21 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "results = {}\n",
+    "# results = {}\n",
     "\n",
-    "for name, store in tqdm.tqdm(benchmarks_to_run.items()):\n",
-    "    store.empty()\n",
-    "    start_time = time.time()\n",
-    "    for batch in dummy_activations:\n",
-    "        store.extend(batch)\n",
-    "    if hasattr(store, \"wait_for_writes_to_complete\"):\n",
-    "        store.wait_for_writes_to_complete()\n",
-    "    end_time = time.time()\n",
-    "    results[name] = end_time - start_time\n",
+    "# for name, store in tqdm.tqdm(benchmarks_to_run.items()):\n",
+    "#     store.empty()\n",
+    "#     start_time = time.time()\n",
+    "#     for batch in dummy_activations:\n",
+    "#         store.extend(batch)\n",
+    "#     if hasattr(store, \"wait_for_writes_to_complete\"):\n",
+    "#         store.wait_for_writes_to_complete()\n",
+    "#     end_time = time.time()\n",
+    "#     results[name] = end_time - start_time\n",
     "\n",
-    "df = pd.DataFrame(results, index=[\"Time (s)\"]).T\n",
-    "df[\"Time 10B (h estimate)\"] = df[\"Time (s)\"] * 10**10 / num_items / 3600\n",
-    "df"
+    "# df = pd.DataFrame(results, index=[\"Time (s)\"]).T\n",
+    "# df[\"Time 10B (h estimate)\"] = df[\"Time (s)\"] * 10**10 / num_items / 3600\n",
+    "# df"
    ]
   },
   {
diff --git a/docs/content/SUMMARY.md b/docs/content/SUMMARY.md
new file mode 100644
index 00000000..bd84a757
--- /dev/null
+++ b/docs/content/SUMMARY.md
@@ -0,0 +1,5 @@
+* [Home](index.md)
+* [Getting Started](getting_started.md)
+* [Contributing](contributing.md)
+* [Citation](citation.md)
+* [Reference](reference/)
diff --git a/docs/content/citation.md b/docs/content/citation.md
new file mode 100644
index 00000000..cfa0678d
--- /dev/null
+++ b/docs/content/citation.md
@@ -0,0 +1,4 @@
+
+# Citation
+
+Please cite this library as:
diff --git a/docs/content/contributing.md b/docs/content/contributing.md
new file mode 100644
index 00000000..b92c9741
--- /dev/null
+++ b/docs/content/contributing.md
@@ -0,0 +1,140 @@
+# Contributing
+
+## Setup
+
+### DevContainer
+
+For a one-click setup of your development environment, this project includes a
+[DevContainer](https://containers.dev/). It can be used locally with [VS
+Code](https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.remote-containers) or
+with [GitHub Codespaces](https://github.com/features/codespaces).
+
+### Manual Setup
+
+This project uses [Poetry](https://python-poetry.org/docs/#installation) for package management.
+Install as follows (this will also setup your virtual environment):
+
+```bash
+poetry config virtualenvs.in-project true
+poetry install --with dev,docs,jupyter
+```
+
+## Testing
+
+If adding a feature, please add unit tests for it. If you need a model, please use one of the ones
+that are cached by GitHub Actions (so that it runs quickly on the CD). These are `gpt2`,
+`attn-only-1l`, `attn-only-2l`, `attn-only-3l`, `attn-only-4l`, `tiny-stories-1M`. Note `gpt2` is
+quite slow (as we only have CPU actions) so the smaller models like `attn-only-1l` and
+`tiny-stories-1M` are preferred if possible.
+
+### Running the tests
+
+- Unit tests only via `make unit-test`
+- Acceptance tests only via `make acceptance-test`
+- Docstring tests only via `make docstring-test`
+
+## Formatting
+
+This project uses `pycln`, `isort` and `black` for formatting, pull requests are checked in github
+actions.
+
+- Format all files via `make format`
+- Only check the formatting via `make check-format`
+
+## Documentation
+
+Please make sure to add thorough documentation for any features you add. You should do this directly
+in the docstring, and this will then automatically generate the API docs when merged into `main`.
+They will also be automatically checked with [pytest](https://docs.pytest.org/) (via
+[doctest](https://docs.python.org/3/library/doctest.html)).
+
+If you want to view your documentation changes, run `pytest run docs-hot-reload`. This will give you
+hot-reloading docs (they change in real time as you edit docstrings).
+
+### Docstring Style Guide
+
+We follow the Google Python Docstring Style for writing docstrings, with some added features from
+reStructuredText (reST).
+
+#### Sections and Order
+
+You should follow this order:
+
+```python
+"""Title In Title Case.
+
+A description of what the function/class does, including as much detail as is necessary to fully understand it.
+
+Warning:
+
+Any warnings to the user (e.g. common pitfalls).
+
+Examples:
+
+Include any examples here. They will be checked with doctest.
+
+  >>> print(1 + 2)
+  3
+
+Args:
+    param_without_type_signature:
+        Each description should be indented once more.
+    param_2:
+        Another example parameter.
+
+Returns:
+    Returns description without type signature.
+
+Raises:
+    Information about the error it may raise (if any).
+"""
+```
+
+#### Supported Sphinx Properties
+
+##### References to Other Functions/Classes
+
+You can reference other parts of the codebase using
+[cross-referencing](https://www.sphinx-doc.org/en/master/usage/domains/python.html#cross-referencing-python-objects)
+(noting that you can omit the full path if it is in the same file).
+
+```reStructuredText
+:mod:transformer_lens # Function or module
+
+:const:`transformer_lens.loading_from_pretrained.OFFICIAL_MODEL_NAMES`
+
+:class:`transformer_lens.HookedTransformer`
+
+:meth:`transformer_lens.HookedTransformer.from_pretrained`
+
+:attr:`transformer_lens.HookedTransformer.cfg`
+```
+
+##### Maths
+
+You can use LaTeX, but note that as you're placing this in python strings the backwards slash (`\`)
+must be repeated (i.e. `\\`). You can write LaTeX inline, or in "display mode".
+
+```reStructuredText
+:math:`(a + b)^2 = a^2 + 2ab + b^2`
+```
+
+```reStructuredText
+.. math::
+   :nowrap:
+
+   \\begin{eqnarray}
+      y    & = & ax^2 + bx + c \\
+      f(x) & = & x^2 + 2xy + y^2
+   \\end{eqnarray}
+```
+
+#### Markup
+
+- Italics - `*text*`
+- Bold - `**text**`
+- Code - ` ``code`` `
+- List items - `*item`
+- Numbered items - `1. Item`
+- Quotes - indent one level
+- External links = ``` `Link text <https://domain.invalid/>` ```
diff --git a/docs/content/getting_started.md b/docs/content/getting_started.md
new file mode 100644
index 00000000..bad55622
--- /dev/null
+++ b/docs/content/getting_started.md
@@ -0,0 +1 @@
+# Getting Started
diff --git a/docs/content/index.md b/docs/content/index.md
new file mode 100644
index 00000000..6ffc97d1
--- /dev/null
+++ b/docs/content/index.md
@@ -0,0 +1,16 @@
+# Home
+
+[![PyPI](https://img.shields.io/pypi/v/sparse_autoencoder?color=blue)](https://pypi.org/project/transformer-lens/)
+![PyPI -
+License](https://img.shields.io/pypi/l/sparse_autoencoder?color=blue) [![Checks](https://github.com/alan-cooney/sparse_autoencoder/actions/workflows/checks.yml/badge.svg)](https://github.com/alan-cooney/sparse_autoencoder/actions/workflows/checks.yml)
+[![Release](https://github.com/alan-cooney/sparse_autoencoder/actions/workflows/release.yml/badge.svg)](https://github.com/alan-cooney/sparse_autoencoder/actions/workflows/release.yml)
+
+A sparse autoencoder for mechanistic interpretability research.
+
+```shell
+pip install sparse_autoencoder
+```
+
+## Demo
+
+Check out the demo notebook for a guide to using this library.
diff --git a/docs/gen_ref_pages.py b/docs/gen_ref_pages.py
new file mode 100644
index 00000000..02934c9f
--- /dev/null
+++ b/docs/gen_ref_pages.py
@@ -0,0 +1,54 @@
+"""Generate the code reference pages."""
+
+
+from pathlib import Path
+
+import mkdocs_gen_files
+
+
+CURRENT_DIR = Path(__file__).parent
+REPO_ROOT = CURRENT_DIR.parent
+PROJECT_ROOT = REPO_ROOT / "sparse_autoencoder"
+REFERENCE_DIR = CURRENT_DIR / "content/reference"
+
+
+def is_source_file(file: Path) -> bool:
+    """Checks an individual file to see if they are source files for Sparse Encoder."""
+    return "test" not in str(file)
+
+
+def run() -> None:
+    """Handles the actual generation of our reference docs."""
+    nav = mkdocs_gen_files.Nav()  # type: ignore
+
+    python_files = Path(PROJECT_ROOT).rglob("*.py")
+    source_files = filter(is_source_file, python_files)
+
+    for path in sorted(source_files):
+        module_path = path.relative_to(PROJECT_ROOT).with_suffix("")  #
+        doc_path = path.relative_to(PROJECT_ROOT).with_suffix(".md")  #
+        full_doc_path = Path(REFERENCE_DIR, doc_path)  #
+
+        parts = list(module_path.parts)
+
+        if parts[-1] == "__init__":  #
+            parts = parts[:-1]
+            doc_path = doc_path.with_name("index.md")
+            full_doc_path = full_doc_path.with_name("index.md")
+        elif parts[-1] == "__main__":
+            continue
+
+        slug = ["Home"] if not len(parts) else parts
+
+        nav[slug] = doc_path.as_posix()  # type: ignore
+
+        parts.insert(0, "sparse_autoencoder")
+
+        with mkdocs_gen_files.open(full_doc_path, "w") as fd:  #
+            identifier = ".".join(parts)  #
+            fd.write(f"::: {identifier}")  #
+
+        mkdocs_gen_files.set_edit_path(full_doc_path, path)  #
+
+    with mkdocs_gen_files.open(REFERENCE_DIR / "SUMMARY.md", "w") as nav_file:  #
+        nav_file.writelines(nav.build_literate_nav())
diff --git a/mkdocs.yml b/mkdocs.yml
new file mode 100644
index 00000000..b001e6f0
--- /dev/null
+++ b/mkdocs.yml
@@ -0,0 +1,14 @@
+site_name: Sparse Autoencoder
+docs_dir: docs/content
+site_dir: docs/generated
+theme:
+  name: readthedocs
+plugins:
+  - gen-files:
+      scripts:
+      - docs/gen_ref_pages.py
+  - mkdocstrings
+  - search
+  - autorefs
+  - literate-nav:
+      nav_file: SUMMARY.md
diff --git a/poetry.lock b/poetry.lock
index c2f0ddf1..75f7c853 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -695,25 +695,26 @@ toml = ["tomli"]
 
 [[package]]
 name = "datasets"
-version = "2.14.6"
+version = "2.15.0"
 description = "HuggingFace community-driven open-source library of datasets"
 optional = false
 python-versions = ">=3.8.0"
 files = [
-    {file = "datasets-2.14.6-py3-none-any.whl", hash = "sha256:4de857ffce21cfc847236745c69f102e33cd1f0fa8398e7be9964525fd4cd5db"},
-    {file = "datasets-2.14.6.tar.gz", hash = "sha256:97ebbace8ec7af11434a87d1215379927f8fee2beab2c4a674003756ecfe920c"},
+    {file = "datasets-2.15.0-py3-none-any.whl", hash = "sha256:6d658d23811393dfc982d026082e1650bdaaae28f6a86e651966cb072229a228"},
+    {file = "datasets-2.15.0.tar.gz", hash = "sha256:a26d059370bd7503bd60e9337977199a13117a83f72fb61eda7e66f0c4d50b2b"},
 ]
 
 [package.dependencies]
 aiohttp = "*"
 dill = ">=0.3.0,<0.3.8"
 fsspec = {version = ">=2023.1.0,<=2023.10.0", extras = ["http"]}
-huggingface-hub = ">=0.14.0,<1.0.0"
+huggingface-hub = ">=0.18.0"
 multiprocess = "*"
 numpy = ">=1.17"
 packaging = "*"
 pandas = "*"
 pyarrow = ">=8.0.0"
+pyarrow-hotfix = "*"
 pyyaml = ">=5.1"
 requests = ">=2.19.0"
 tqdm = ">=4.62.1"
@@ -723,15 +724,15 @@ xxhash = "*"
 apache-beam = ["apache-beam (>=2.26.0,<2.44.0)"]
 audio = ["librosa", "soundfile (>=0.12.1)"]
 benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"]
-dev = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "black (>=23.1,<24.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "pyyaml (>=5.3.1)", "rarfile (>=4.0)", "ruff (>=0.0.241)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
+dev = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "black (>=23.1,<24.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "pyyaml (>=5.3.1)", "rarfile (>=4.0)", "ruff (>=0.0.241)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "typing-extensions (>=4.6.1)", "zstandard"]
 docs = ["s3fs", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow-macos", "torch", "transformers"]
-jax = ["jax (>=0.2.8,!=0.3.2,<=0.3.25)", "jaxlib (>=0.1.65,<=0.3.25)"]
+jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"]
 metrics-tests = ["Werkzeug (>=1.0.1)", "accelerate", "bert-score (>=0.3.6)", "jiwer", "langdetect", "mauve-text", "nltk", "requests-file (>=1.5.1)", "rouge-score", "sacrebleu", "sacremoses", "scikit-learn", "scipy", "sentencepiece", "seqeval", "six (>=1.15.0,<1.16.0)", "spacy (>=3.0.0)", "texttable (>=1.6.3)", "tldextract", "tldextract (>=3.1.0)", "toml (>=0.10.1)", "typer (<0.5.0)"]
 quality = ["black (>=23.1,<24.0)", "pyyaml (>=5.3.1)", "ruff (>=0.0.241)"]
 s3 = ["s3fs"]
 tensorflow = ["tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow-macos"]
 tensorflow-gpu = ["tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)"]
-tests = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
+tests = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "typing-extensions (>=4.6.1)", "zstandard"]
 torch = ["torch"]
 vision = ["Pillow (>=6.2.1)"]
 
@@ -875,13 +876,13 @@ files = [
 
 [[package]]
 name = "fastjsonschema"
-version = "2.18.1"
+version = "2.19.0"
 description = "Fastest Python implementation of JSON schema"
 optional = false
 python-versions = "*"
 files = [
-    {file = "fastjsonschema-2.18.1-py3-none-any.whl", hash = "sha256:aec6a19e9f66e9810ab371cc913ad5f4e9e479b63a7072a2cd060a9369e329a8"},
-    {file = "fastjsonschema-2.18.1.tar.gz", hash = "sha256:06dc8680d937628e993fa0cd278f196d20449a1adc087640710846b324d422ea"},
+    {file = "fastjsonschema-2.19.0-py3-none-any.whl", hash = "sha256:b9fd1a2dd6971dbc7fee280a95bd199ae0dd9ce22beb91cc75e9c1c528a5170e"},
+    {file = "fastjsonschema-2.19.0.tar.gz", hash = "sha256:e25df6647e1bc4a26070b700897b07b542ec898dd4f1f6ea013e7f6a88417225"},
 ]
 
 [package.extras]
@@ -1023,6 +1024,23 @@ smb = ["smbprotocol"]
 ssh = ["paramiko"]
 tqdm = ["tqdm"]
 
+[[package]]
+name = "ghp-import"
+version = "2.1.0"
+description = "Copy your docs directly to the gh-pages branch."
+optional = false
+python-versions = "*"
+files = [
+    {file = "ghp-import-2.1.0.tar.gz", hash = "sha256:9c535c4c61193c2df8871222567d7fd7e5014d835f97dc7b7439069e2413d343"},
+    {file = "ghp_import-2.1.0-py3-none-any.whl", hash = "sha256:8337dd7b50877f163d4c0289bc1f1c7f127550241988d568c1db512c4324a619"},
+]
+
+[package.dependencies]
+python-dateutil = ">=2.8.1"
+
+[package.extras]
+dev = ["flake8", "markdown", "twine", "wheel"]
+
 [[package]]
 name = "gitdb"
 version = "4.0.11"
@@ -1054,15 +1072,29 @@ gitdb = ">=4.0.1,<5"
 [package.extras]
 test = ["black", "coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mock", "mypy", "pre-commit", "pytest", "pytest-cov", "pytest-instafail", "pytest-subtests", "pytest-sugar"]
 
+[[package]]
+name = "griffe"
+version = "0.38.0"
+description = "Signatures for entire Python programs. Extract the structure, the frame, the skeleton of your project, to generate API documentation or find breaking changes in your API."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "griffe-0.38.0-py3-none-any.whl", hash = "sha256:6a5bc457320e8e199006aa5fbb03e162f5e21abe31aa6221f7a5c37ea0724c71"},
+    {file = "griffe-0.38.0.tar.gz", hash = "sha256:9b97487b583042b543d1e28196caee638ecd766c8c4c98135071806cb5333ac2"},
+]
+
+[package.dependencies]
+colorama = ">=0.4"
+
 [[package]]
 name = "huggingface-hub"
-version = "0.19.0"
+version = "0.19.4"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
 files = [
-    {file = "huggingface_hub-0.19.0-py3-none-any.whl", hash = "sha256:8cd7ffdb36393ba1c99b4576fbe8900b3496c98a643cde05f355348fe7d89144"},
-    {file = "huggingface_hub-0.19.0.tar.gz", hash = "sha256:7395c9b8053dc8aa0dec2900f367890f66be07bfe46369b95af3f4c1013eb09e"},
+    {file = "huggingface_hub-0.19.4-py3-none-any.whl", hash = "sha256:dba013f779da16f14b606492828f3760600a1e1801432d09fe1c33e50b825bb5"},
+    {file = "huggingface_hub-0.19.4.tar.gz", hash = "sha256:176a4fc355a851c17550e7619488f383189727eab209534d7cef2114dae77b22"},
 ]
 
 [package.dependencies]
@@ -1075,17 +1107,17 @@ tqdm = ">=4.42.1"
 typing-extensions = ">=3.7.4.3"
 
 [package.extras]
-all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
 cli = ["InquirerPy (==0.3.4)"]
-dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
-docs = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "hf-doc-builder", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)", "watchdog"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)"]
+docs = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "hf-doc-builder", "jedi", "mypy (==1.5.1)", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "ruff (>=0.1.3)", "soundfile", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)", "urllib3 (<2.0)", "watchdog"]
 fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
-inference = ["aiohttp", "pydantic (>1.1,<3.0)"]
+inference = ["aiohttp", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)"]
 quality = ["mypy (==1.5.1)", "ruff (>=0.1.3)"]
 tensorflow = ["graphviz", "pydot", "tensorflow"]
-testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "Pillow", "aiohttp", "gradio", "jedi", "numpy", "pydantic (>1.1,<2.0)", "pydantic (>1.1,<3.0)", "pytest", "pytest-asyncio", "pytest-cov", "pytest-env", "pytest-vcr", "pytest-xdist", "soundfile", "urllib3 (<2.0)"]
 torch = ["torch"]
-typing = ["pydantic (>1.1,<3.0)", "types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
+typing = ["types-PyYAML", "types-requests", "types-simplejson", "types-toml", "types-tqdm", "types-urllib3", "typing-extensions (>=4.8.0)"]
 
 [[package]]
 name = "identify"
@@ -1307,13 +1339,13 @@ files = [
 
 [[package]]
 name = "jsonschema"
-version = "4.19.2"
+version = "4.20.0"
 description = "An implementation of JSON Schema validation for Python"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jsonschema-4.19.2-py3-none-any.whl", hash = "sha256:eee9e502c788e89cb166d4d37f43084e3b64ab405c795c03d343a4dbc2c810fc"},
-    {file = "jsonschema-4.19.2.tar.gz", hash = "sha256:c9ff4d7447eed9592c23a12ccee508baf0dd0d59650615e847feb6cdca74f392"},
+    {file = "jsonschema-4.20.0-py3-none-any.whl", hash = "sha256:ed6231f0429ecf966f5bc8dfef245998220549cbbcf140f913b7464c52c3b6b3"},
+    {file = "jsonschema-4.20.0.tar.gz", hash = "sha256:4f614fd46d8d61258610998997743ec5492a648b33cf478c1ddc23ed4598a5fa"},
 ]
 
 [package.dependencies]
@@ -1336,17 +1368,17 @@ format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-
 
 [[package]]
 name = "jsonschema-specifications"
-version = "2023.7.1"
+version = "2023.11.1"
 description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jsonschema_specifications-2023.7.1-py3-none-any.whl", hash = "sha256:05adf340b659828a004220a9613be00fa3f223f2b82002e273dee62fd50524b1"},
-    {file = "jsonschema_specifications-2023.7.1.tar.gz", hash = "sha256:c91a50404e88a1f6ba40636778e2ee08f6e24c5613fe4c53ac24578a5a7f72bb"},
+    {file = "jsonschema_specifications-2023.11.1-py3-none-any.whl", hash = "sha256:f596778ab612b3fd29f72ea0d990393d0540a5aab18bf0407a46632eab540779"},
+    {file = "jsonschema_specifications-2023.11.1.tar.gz", hash = "sha256:c9b234904ffe02f079bf91b14d79987faa685fd4b39c377a0996954c0090b9ca"},
 ]
 
 [package.dependencies]
-referencing = ">=0.28.0"
+referencing = ">=0.31.0"
 
 [[package]]
 name = "jupyter"
@@ -1475,13 +1507,13 @@ jupyter-server = ">=1.1.2"
 
 [[package]]
 name = "jupyter-server"
-version = "2.10.0"
+version = "2.10.1"
 description = "The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "jupyter_server-2.10.0-py3-none-any.whl", hash = "sha256:dde56c9bc3cb52d7b72cc0f696d15d7163603526f1a758eb4a27405b73eab2a5"},
-    {file = "jupyter_server-2.10.0.tar.gz", hash = "sha256:47b8f5e63440125cb1bb8957bf12b18453ee5ed9efe42d2f7b2ca66a7019a278"},
+    {file = "jupyter_server-2.10.1-py3-none-any.whl", hash = "sha256:20519e355d951fc5e1b6ac5952854fe7620d0cfb56588fa4efe362a758977ed3"},
+    {file = "jupyter_server-2.10.1.tar.gz", hash = "sha256:e6da2657a954a7879eed28cc08e0817b01ffd81d7eab8634660397b55f926472"},
 ]
 
 [package.dependencies]
@@ -1490,7 +1522,7 @@ argon2-cffi = "*"
 jinja2 = "*"
 jupyter-client = ">=7.4.4"
 jupyter-core = ">=4.12,<5.0.dev0 || >=5.1.dev0"
-jupyter-events = ">=0.6.0"
+jupyter-events = ">=0.9.0"
 jupyter-server-terminals = "*"
 nbconvert = ">=6.4.4"
 nbformat = ">=5.3.0"
@@ -1606,6 +1638,21 @@ files = [
     {file = "jupyterlab_widgets-3.0.9.tar.gz", hash = "sha256:6005a4e974c7beee84060fdfba341a3218495046de8ae3ec64888e5fe19fdb4c"},
 ]
 
+[[package]]
+name = "markdown"
+version = "3.5.1"
+description = "Python implementation of John Gruber's Markdown."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "Markdown-3.5.1-py3-none-any.whl", hash = "sha256:5874b47d4ee3f0b14d764324d2c94c03ea66bee56f2d929da9f2508d65e722dc"},
+    {file = "Markdown-3.5.1.tar.gz", hash = "sha256:b65d7beb248dc22f2e8a31fb706d93798093c308dc1aba295aedeb9d41a813bd"},
+]
+
+[package.extras]
+docs = ["mdx-gh-links (>=0.2)", "mkdocs (>=1.5)", "mkdocs-gen-files", "mkdocs-literate-nav", "mkdocs-nature (>=0.6)", "mkdocs-section-index", "mkdocstrings[python]"]
+testing = ["coverage", "pyyaml"]
+
 [[package]]
 name = "markdown-it-py"
 version = "3.0.0"
@@ -1724,6 +1771,17 @@ files = [
     {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
 ]
 
+[[package]]
+name = "mergedeep"
+version = "1.3.4"
+description = "A deep merge function for 🐍."
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "mergedeep-1.3.4-py3-none-any.whl", hash = "sha256:70775750742b25c0d8f36c55aed03d24c3384d17c951b3175d898bd778ef0307"},
+    {file = "mergedeep-1.3.4.tar.gz", hash = "sha256:0096d52e9dad9939c3d975a774666af186eda617e6ca84df4c94dec30004f2a8"},
+]
+
 [[package]]
 name = "mistune"
 version = "3.0.2"
@@ -1735,6 +1793,118 @@ files = [
     {file = "mistune-3.0.2.tar.gz", hash = "sha256:fc7f93ded930c92394ef2cb6f04a8aabab4117a91449e72dcc8dfa646a508be8"},
 ]
 
+[[package]]
+name = "mkdocs"
+version = "1.5.3"
+description = "Project documentation with Markdown."
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "mkdocs-1.5.3-py3-none-any.whl", hash = "sha256:3b3a78e736b31158d64dbb2f8ba29bd46a379d0c6e324c2246c3bc3d2189cfc1"},
+    {file = "mkdocs-1.5.3.tar.gz", hash = "sha256:eb7c99214dcb945313ba30426c2451b735992c73c2e10838f76d09e39ff4d0e2"},
+]
+
+[package.dependencies]
+click = ">=7.0"
+colorama = {version = ">=0.4", markers = "platform_system == \"Windows\""}
+ghp-import = ">=1.0"
+jinja2 = ">=2.11.1"
+markdown = ">=3.2.1"
+markupsafe = ">=2.0.1"
+mergedeep = ">=1.3.4"
+packaging = ">=20.5"
+pathspec = ">=0.11.1"
+platformdirs = ">=2.2.0"
+pyyaml = ">=5.1"
+pyyaml-env-tag = ">=0.1"
+watchdog = ">=2.0"
+
+[package.extras]
+i18n = ["babel (>=2.9.0)"]
+min-versions = ["babel (==2.9.0)", "click (==7.0)", "colorama (==0.4)", "ghp-import (==1.0)", "importlib-metadata (==4.3)", "jinja2 (==2.11.1)", "markdown (==3.2.1)", "markupsafe (==2.0.1)", "mergedeep (==1.3.4)", "packaging (==20.5)", "pathspec (==0.11.1)", "platformdirs (==2.2.0)", "pyyaml (==5.1)", "pyyaml-env-tag (==0.1)", "typing-extensions (==3.10)", "watchdog (==2.0)"]
+
+[[package]]
+name = "mkdocs-autorefs"
+version = "0.5.0"
+description = "Automatically link across pages in MkDocs."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "mkdocs_autorefs-0.5.0-py3-none-any.whl", hash = "sha256:7930fcb8ac1249f10e683967aeaddc0af49d90702af111a5e390e8b20b3d97ff"},
+    {file = "mkdocs_autorefs-0.5.0.tar.gz", hash = "sha256:9a5054a94c08d28855cfab967ada10ed5be76e2bfad642302a610b252c3274c0"},
+]
+
+[package.dependencies]
+Markdown = ">=3.3"
+mkdocs = ">=1.1"
+
+[[package]]
+name = "mkdocs-gen-files"
+version = "0.5.0"
+description = "MkDocs plugin to programmatically generate documentation pages during the build"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "mkdocs_gen_files-0.5.0-py3-none-any.whl", hash = "sha256:7ac060096f3f40bd19039e7277dd3050be9a453c8ac578645844d4d91d7978ea"},
+    {file = "mkdocs_gen_files-0.5.0.tar.gz", hash = "sha256:4c7cf256b5d67062a788f6b1d035e157fc1a9498c2399be9af5257d4ff4d19bc"},
+]
+
+[package.dependencies]
+mkdocs = ">=1.0.3"
+
+[[package]]
+name = "mkdocs-literate-nav"
+version = "0.6.1"
+description = "MkDocs plugin to specify the navigation in Markdown instead of YAML"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "mkdocs_literate_nav-0.6.1-py3-none-any.whl", hash = "sha256:e70bdc4a07050d32da79c0b697bd88e9a104cf3294282e9cb20eec94c6b0f401"},
+    {file = "mkdocs_literate_nav-0.6.1.tar.gz", hash = "sha256:78a7ab6d878371728acb0cdc6235c9b0ffc6e83c997b037f4a5c6ff7cef7d759"},
+]
+
+[package.dependencies]
+mkdocs = ">=1.0.3"
+
+[[package]]
+name = "mkdocstrings"
+version = "0.23.0"
+description = "Automatic documentation from sources, for MkDocs."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "mkdocstrings-0.23.0-py3-none-any.whl", hash = "sha256:051fa4014dfcd9ed90254ae91de2dbb4f24e166347dae7be9a997fe16316c65e"},
+    {file = "mkdocstrings-0.23.0.tar.gz", hash = "sha256:d9c6a37ffbe7c14a7a54ef1258c70b8d394e6a33a1c80832bce40b9567138d1c"},
+]
+
+[package.dependencies]
+Jinja2 = ">=2.11.1"
+Markdown = ">=3.3"
+MarkupSafe = ">=1.1"
+mkdocs = ">=1.2"
+mkdocs-autorefs = ">=0.3.1"
+pymdown-extensions = ">=6.3"
+
+[package.extras]
+crystal = ["mkdocstrings-crystal (>=0.3.4)"]
+python = ["mkdocstrings-python (>=0.5.2)"]
+python-legacy = ["mkdocstrings-python-legacy (>=0.2.1)"]
+
+[[package]]
+name = "mkdocstrings-python"
+version = "1.7.4"
+description = "A Python handler for mkdocstrings."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "mkdocstrings_python-1.7.4-py3-none-any.whl", hash = "sha256:70eacbe5f2d5071f2e525ba0b35bc447d398437dfbcd90c63fe6e977551cfe26"},
+    {file = "mkdocstrings_python-1.7.4.tar.gz", hash = "sha256:c2fc34efd70000ec31aee247910006e8dd9d1b9f3957bf46880c3f6e51a8f0d5"},
+]
+
+[package.dependencies]
+griffe = ">=0.37"
+mkdocstrings = ">=0.20"
+
 [[package]]
 name = "mpmath"
 version = "1.3.0"
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@@ -2179,34 +2352,34 @@ nvidia-nvjitlink-cu12 = "*"
 
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+version = "2.18.1"
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 python-versions = ">=3"
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 [package.dependencies]
@@ -2275,7 +2448,7 @@ pytz = ">=2020.1"
 tzdata = ">=2022.1"
 
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@@ -2295,7 +2468,7 @@ plot = ["matplotlib (>=3.6.1)"]
 postgresql = ["SQLAlchemy (>=1.4.36)", "psycopg2 (>=2.9.3)"]
 spss = ["pyreadstat (>=1.1.5)"]
 sql-other = ["SQLAlchemy (>=1.4.36)"]
-test = ["hypothesis (>=6.46.1)", "pytest (>=7.3.2)", "pytest-asyncio (>=0.17.0)", "pytest-xdist (>=2.2.0)"]
+test = ["hypothesis (>=6.46.1)", "pytest (>=7.3.2)", "pytest-xdist (>=2.2.0)"]
 xml = ["lxml (>=4.8.0)"]
 
 [[package]]
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 ]
 
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+version = "0.11.2"
+description = "Utility library for gitignore style pattern matching of file paths."
+optional = false
+python-versions = ">=3.7"
+files = [
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+]
+
 [[package]]
 name = "pexpect"
 version = "4.8.0"
@@ -2396,13 +2580,13 @@ testing = ["pytest", "pytest-benchmark"]
 
 [[package]]
 name = "poethepoet"
-version = "0.24.2"
+version = "0.24.3"
 description = "A task runner that works well with poetry."
 optional = false
 python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -2446,13 +2630,13 @@ twisted = ["twisted"]
 
 [[package]]
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-version = "3.0.39"
+version = "3.0.41"
 description = "Library for building powerful interactive command lines in Python"
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 python-versions = ">=3.7.0"
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 ]
 
 [package.dependencies]
@@ -2460,22 +2644,22 @@ wcwidth = "*"
 
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 description = ""
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 [[package]]
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 [package.dependencies]
 numpy = ">=1.16.6"
 
+[[package]]
+name = "pyarrow-hotfix"
+version = "0.5"
+description = ""
+optional = false
+python-versions = ">=3.5"
+files = [
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+
 [[package]]
 name = "pycparser"
 version = "2.21"
@@ -2604,15 +2799,33 @@ files = [
 [package.extras]
 plugins = ["importlib-metadata"]
 
+[[package]]
+name = "pymdown-extensions"
+version = "10.4"
+description = "Extension pack for Python Markdown."
+optional = false
+python-versions = ">=3.8"
+files = [
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+
+[package.dependencies]
+markdown = ">=3.2"
+pyyaml = "*"
+
+[package.extras]
+extra = ["pygments (>=2.12)"]
+
 [[package]]
 name = "pyright"
-version = "1.1.335"
+version = "1.1.336"
 description = "Command line wrapper for pyright"
 optional = false
 python-versions = ">=3.7"
 files = [
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 ]
 
+[[package]]
+name = "pyyaml-env-tag"
+version = "0.1"
+description = "A custom YAML tag for referencing environment variables in YAML files. "
+optional = false
+python-versions = ">=3.6"
+files = [
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+]
+
+[package.dependencies]
+pyyaml = "*"
+
 [[package]]
 name = "pyzmq"
 version = "25.1.1"
@@ -2902,13 +3129,13 @@ cffi = {version = "*", markers = "implementation_name == \"pypy\""}
 
 [[package]]
 name = "qtconsole"
-version = "5.5.0"
+version = "5.5.1"
 description = "Jupyter Qt console"
 optional = false
 python-versions = ">= 3.8"
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 ]
 
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@@ -2944,13 +3171,13 @@ test = ["pytest (>=6,!=7.0.0,!=7.0.1)", "pytest-cov (>=3.0.0)", "pytest-qt"]
 
 [[package]]
 name = "referencing"
-version = "0.30.2"
+version = "0.31.0"
 description = "JSON Referencing + Python"
 optional = false
 python-versions = ">=3.8"
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 ]
 
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@@ -3102,13 +3329,13 @@ files = [
 
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 name = "rich"
-version = "13.6.0"
+version = "13.7.0"
 description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
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 python-versions = ">=3.7.0"
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 [package.dependencies]
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+version = "0.13.0"
 description = "Python bindings to Rust's persistent data structures (rpds)"
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 ]
 
 [[package]]
@@ -3389,13 +3616,13 @@ win32 = ["pywin32"]
 
 [[package]]
 name = "sentry-sdk"
-version = "1.34.0"
+version = "1.35.0"
 description = "Python client for Sentry (https://sentry.io)"
 optional = false
 python-versions = "*"
 files = [
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 ]
 
 [package.dependencies]
@@ -3671,13 +3898,13 @@ doc = ["reno", "sphinx", "tornado (>=4.5)"]
 
 [[package]]
 name = "terminado"
-version = "0.17.1"
+version = "0.18.0"
 description = "Tornado websocket backend for the Xterm.js Javascript terminal emulator library."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.dependencies]
@@ -3688,6 +3915,7 @@ tornado = ">=6.1.0"
 [package.extras]
 docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
 test = ["pre-commit", "pytest (>=7.0)", "pytest-timeout"]
+typing = ["mypy (>=1.6,<2.0)", "traitlets (>=5.11.1)"]
 
 [[package]]
 name = "tinycss2"
@@ -3774,31 +4002,31 @@ files = [
 
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 name = "torch"
-version = "2.1.0"
+version = "2.1.1"
 description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
 optional = false
 python-versions = ">=3.8.0"
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 ]
 
 [package.dependencies]
@@ -3806,10 +4034,23 @@ filelock = "*"
 fsspec = "*"
 jinja2 = "*"
 networkx = "*"
+nvidia-cublas-cu12 = {version = "12.1.3.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cuda-cupti-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cuda-nvrtc-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cuda-runtime-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cudnn-cu12 = {version = "8.9.2.26", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cufft-cu12 = {version = "11.0.2.54", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-curand-cu12 = {version = "10.3.2.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cusolver-cu12 = {version = "11.4.5.107", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-cusparse-cu12 = {version = "12.1.0.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nccl-cu12 = {version = "2.18.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nvtx-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 sympy = "*"
+triton = {version = "2.1.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 typing-extensions = "*"
 
 [package.extras]
+dynamo = ["jinja2"]
 opt-einsum = ["opt-einsum (>=3.3)"]
 
 [[package]]
@@ -3869,13 +4110,13 @@ test = ["argcomplete (>=3.0.3)", "mypy (>=1.6.0)", "pre-commit", "pytest (>=7.0,
 
 [[package]]
 name = "transformer-lens"
-version = "1.9.1"
+version = "1.10.0"
 description = "An implementation of transformers tailored for mechanistic interpretability."
 optional = false
 python-versions = ">=3.8,<4.0"
 files = [
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 ]
 
 [package.dependencies]
@@ -4064,18 +4305,17 @@ dev = ["flake8", "flake8-annotations", "flake8-bandit", "flake8-bugbear", "flake
 
 [[package]]
 name = "urllib3"
-version = "2.0.7"
+version = "2.1.0"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.8"
 files = [
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 ]
 
 [package.extras]
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-secure = ["certifi", "cryptography (>=1.9)", "idna (>=2.0.0)", "pyopenssl (>=17.1.0)", "urllib3-secure-extra"]
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
 zstd = ["zstandard (>=0.18.0)"]
 
@@ -4136,15 +4376,54 @@ nexus = ["wandb-core (>=0.17.0b1)"]
 perf = ["orjson"]
 sweeps = ["sweeps (>=0.2.0)"]
 
+[[package]]
+name = "watchdog"
+version = "3.0.0"
+description = "Filesystem events monitoring"
+optional = false
+python-versions = ">=3.7"
+files = [
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+    {file = "watchdog-3.0.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:8f3ceecd20d71067c7fd4c9e832d4e22584318983cabc013dbf3f70ea95de346"},
+    {file = "watchdog-3.0.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:c9d8c8ec7efb887333cf71e328e39cffbf771d8f8f95d308ea4125bf5f90ba64"},
+    {file = "watchdog-3.0.0-py3-none-manylinux2014_aarch64.whl", hash = "sha256:0e06ab8858a76e1219e68c7573dfeba9dd1c0219476c5a44d5333b01d7e1743a"},
+    {file = "watchdog-3.0.0-py3-none-manylinux2014_armv7l.whl", hash = "sha256:d00e6be486affb5781468457b21a6cbe848c33ef43f9ea4a73b4882e5f188a44"},
+    {file = "watchdog-3.0.0-py3-none-manylinux2014_i686.whl", hash = "sha256:c07253088265c363d1ddf4b3cdb808d59a0468ecd017770ed716991620b8f77a"},
+    {file = "watchdog-3.0.0-py3-none-manylinux2014_ppc64.whl", hash = "sha256:5113334cf8cf0ac8cd45e1f8309a603291b614191c9add34d33075727a967709"},
+    {file = "watchdog-3.0.0-py3-none-manylinux2014_ppc64le.whl", hash = "sha256:51f90f73b4697bac9c9a78394c3acbbd331ccd3655c11be1a15ae6fe289a8c83"},
+    {file = "watchdog-3.0.0-py3-none-manylinux2014_s390x.whl", hash = "sha256:ba07e92756c97e3aca0912b5cbc4e5ad802f4557212788e72a72a47ff376950d"},
+    {file = "watchdog-3.0.0-py3-none-manylinux2014_x86_64.whl", hash = "sha256:d429c2430c93b7903914e4db9a966c7f2b068dd2ebdd2fa9b9ce094c7d459f33"},
+    {file = "watchdog-3.0.0-py3-none-win32.whl", hash = "sha256:3ed7c71a9dccfe838c2f0b6314ed0d9b22e77d268c67e015450a29036a81f60f"},
+    {file = "watchdog-3.0.0-py3-none-win_amd64.whl", hash = "sha256:4c9956d27be0bb08fc5f30d9d0179a855436e655f046d288e2bcc11adfae893c"},
+    {file = "watchdog-3.0.0-py3-none-win_ia64.whl", hash = "sha256:5d9f3a10e02d7371cd929b5d8f11e87d4bad890212ed3901f9b4d68767bee759"},
+    {file = "watchdog-3.0.0.tar.gz", hash = "sha256:4d98a320595da7a7c5a18fc48cb633c2e73cda78f93cac2ef42d42bf609a33f9"},
+]
+
+[package.extras]
+watchmedo = ["PyYAML (>=3.10)"]
+
 [[package]]
 name = "wcwidth"
-version = "0.2.9"
+version = "0.2.10"
 description = "Measures the displayed width of unicode strings in a terminal"
 optional = false
 python-versions = "*"
 files = [
-    {file = "wcwidth-0.2.9-py2.py3-none-any.whl", hash = "sha256:9a929bd8380f6cd9571a968a9c8f4353ca58d7cd812a4822bba831f8d685b223"},
-    {file = "wcwidth-0.2.9.tar.gz", hash = "sha256:a675d1a4a2d24ef67096a04b85b02deeecd8e226f57b5e3a72dbb9ed99d27da8"},
+    {file = "wcwidth-0.2.10-py2.py3-none-any.whl", hash = "sha256:aec5179002dd0f0d40c456026e74a729661c9d468e1ed64405e3a6c2176ca36f"},
+    {file = "wcwidth-0.2.10.tar.gz", hash = "sha256:390c7454101092a6a5e43baad8f83de615463af459201709556b6e4b1c861f97"},
 ]
 
 [[package]]
@@ -4468,4 +4747,4 @@ cffi = ["cffi (>=1.11)"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.10, <3.12"
-content-hash = "4d4c458f649e9618b43a794543a00cfafddafc089a4bd68287bc9a769484149e"
+content-hash = "071460fdd5dd53916bef9bbcd9ae7be28792281c318c803243d9f204ab30fac5"
diff --git a/pyproject.toml b/pyproject.toml
index b5db06c6..00364513 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -34,6 +34,13 @@
             transformer-lens=">=1.9.0"
             transformers=">=4.33.1, <4.34.0" # See https://github.com/neelnanda-io/TransformerLens/issues/404
 
+        [tool.poetry.group.docs.dependencies]
+            mkdocs = "^1.5.3"
+            mkdocstrings = "^0.23.0"
+            mkdocstrings-python = "^1.7.3"
+            mkdocs-gen-files = "^0.5.0"
+            mkdocs-literate-nav = "^0.6.1"
+
 [tool.poe.tasks]
     [tool.poe.tasks.check]
         help="All checks"
@@ -85,6 +92,24 @@
         help="  [alias for typecheck]"
         sequence=["typecheck"]
 
+    [tool.poe.tasks.clean-docs]
+        cmd="rm -rf ./docs/content/reference/"
+        help="Cleans out the automatically generated docs."
+
+    [tool.poe.tasks.gen-docs]
+        script="docs.gen_ref_pages:run"
+        help="Cleans out the automatically generated docs."
+
+    [tool.poe.tasks.make-docs]
+        deps=["clean-docs", "gen-docs"]
+        cmd="mkdocs build"
+        help="Generates our docs"
+
+    [tool.poe.tasks.docs-hot-reload]
+        deps=["clean-docs"]
+        cmd="mkdocs serve"
+        help="Starts our watch server"
+
 [build-system]
     build-backend="poetry.core.masonry.api"
     requires=["poetry-core"]
@@ -97,7 +122,6 @@
 
 [tool.ruff]
     cache-dir=".cache/ruff"
-    exclude=["/.venv"]
     ignore=[
         "ANN101", # self type annotation (it's inferred)
         "F722",   # Forward annotations check (conflicts with jaxtyping)
diff --git a/sparse_autoencoder/activation_resampler/__init__.py b/sparse_autoencoder/activation_resampler/__init__.py
new file mode 100644
index 00000000..82c3b184
--- /dev/null
+++ b/sparse_autoencoder/activation_resampler/__init__.py
@@ -0,0 +1 @@
+"""Activation Resampler."""
diff --git a/sparse_autoencoder/activation_store/utils/__init__.py b/sparse_autoencoder/activation_store/utils/__init__.py
new file mode 100644
index 00000000..e774d257
--- /dev/null
+++ b/sparse_autoencoder/activation_store/utils/__init__.py
@@ -0,0 +1 @@
+"""Activation Store Utils."""
diff --git a/sparse_autoencoder/autoencoder/__init__.py b/sparse_autoencoder/autoencoder/__init__.py
new file mode 100644
index 00000000..d8d8b647
--- /dev/null
+++ b/sparse_autoencoder/autoencoder/__init__.py
@@ -0,0 +1 @@
+"""Autoencoder."""
diff --git a/sparse_autoencoder/autoencoder/components/__init__.py b/sparse_autoencoder/autoencoder/components/__init__.py
new file mode 100644
index 00000000..14cd717a
--- /dev/null
+++ b/sparse_autoencoder/autoencoder/components/__init__.py
@@ -0,0 +1 @@
+"""Autoencoder Components."""
diff --git a/sparse_autoencoder/metrics/__init__.py b/sparse_autoencoder/metrics/__init__.py
new file mode 100644
index 00000000..9e178f50
--- /dev/null
+++ b/sparse_autoencoder/metrics/__init__.py
@@ -0,0 +1 @@
+"""Metrics."""
diff --git a/sparse_autoencoder/optimizer/__init__.py b/sparse_autoencoder/optimizer/__init__.py
new file mode 100644
index 00000000..e0b34899
--- /dev/null
+++ b/sparse_autoencoder/optimizer/__init__.py
@@ -0,0 +1 @@
+"""Optimizer."""
diff --git a/sparse_autoencoder/source_data/__init__.py b/sparse_autoencoder/source_data/__init__.py
new file mode 100644
index 00000000..3524949d
--- /dev/null
+++ b/sparse_autoencoder/source_data/__init__.py
@@ -0,0 +1 @@
+"""Source Data."""
diff --git a/sparse_autoencoder/source_data/random_int.py b/sparse_autoencoder/source_data/random_int.py
index 0adb93b6..46b5029d 100644
--- a/sparse_autoencoder/source_data/random_int.py
+++ b/sparse_autoencoder/source_data/random_int.py
@@ -90,7 +90,6 @@ def __init__(
             250
 
         Args:
-            tokenizer: The tokenizer to use to tokenize the prompts.
             context_size: The context size to use when returning a list of tokenized prompts.
                 *Towards Monosemanticity: Decomposing Language Models With Dictionary Learning* used
                 a context size of 250.
diff --git a/sparse_autoencoder/src_model/__init__.py b/sparse_autoencoder/src_model/__init__.py
new file mode 100644
index 00000000..da15acd0
--- /dev/null
+++ b/sparse_autoencoder/src_model/__init__.py
@@ -0,0 +1 @@
+"""Source Model."""
diff --git a/sparse_autoencoder/train/__init__.py b/sparse_autoencoder/train/__init__.py
new file mode 100644
index 00000000..4a13d436
--- /dev/null
+++ b/sparse_autoencoder/train/__init__.py
@@ -0,0 +1 @@
+"""Train."""
diff --git a/sparse_autoencoder/train/metrics/__init__.py b/sparse_autoencoder/train/metrics/__init__.py
new file mode 100644
index 00000000..693f46b4
--- /dev/null
+++ b/sparse_autoencoder/train/metrics/__init__.py
@@ -0,0 +1 @@
+"""Train Metrics."""
diff --git a/sparse_autoencoder/train/resample_neurons.py b/sparse_autoencoder/train/resample_neurons.py
index 77f2015d..da7c14d2 100644
--- a/sparse_autoencoder/train/resample_neurons.py
+++ b/sparse_autoencoder/train/resample_neurons.py
@@ -136,11 +136,11 @@ def sample_input(
 
     Example:
         >>> probabilities = torch.tensor([0.1, 0.2, 0.7])
-        >>> input_activations = torch.tensor([[1, 2], [3, 4], [5, 6]])
+        >>> input_activations = torch.tensor([[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]])
         >>> _seed = torch.manual_seed(0)  # For reproducibility in example
         >>> sampled_input = sample_input(probabilities, input_activations, 2)
         >>> sampled_input.tolist()
-        [[5, 6], [3, 4]]
+        [[5.0, 6.0], [3.0, 4.0]]
 
     Args:
         probabilities: Probabilities for each input.
diff --git a/sparse_autoencoder/train/utils/__init__.py b/sparse_autoencoder/train/utils/__init__.py
new file mode 100644
index 00000000..5241f1bc
--- /dev/null
+++ b/sparse_autoencoder/train/utils/__init__.py
@@ -0,0 +1 @@
+"""Train Utils."""