accelerate==1.4.0
    # via transformer-lens
aiohappyeyeballs==2.4.6
    # via aiohttp
aiohttp==3.11.16
    # via
    #   autointerp-llm (pyproject.toml)
    #   boostedblob
    #   datasets
    #   fsspec
aiosignal==1.3.2
    # via aiohttp
annotated-types==0.7.0
    # via pydantic
antlr4-python3-runtime==4.9.3
    # via
    #   hydra-core
    #   omegaconf
anyio==4.8.0
    # via
    #   httpx
    #   jupyter-server
    #   openai
argon2-cffi==23.1.0
    # via jupyter-server
argon2-cffi-bindings==21.2.0
    # via argon2-cffi
arrow==1.3.0
    # via isoduration
asttokens==3.0.0
    # via stack-data
async-lru==2.0.4
    # via jupyterlab
attrs==25.1.0
    # via
    #   aiohttp
    #   jsonschema
    #   referencing
automated-interpretability==0.0.8
    # via sae-lens
babe==0.0.7
    # via sae-lens
babel==2.17.0
    # via jupyterlab-server
beartype==0.14.1
    # via transformer-lens
beautifulsoup4==4.13.3
    # via nbconvert
better-abc==0.0.3
    # via transformer-lens
bleach==6.2.0
    # via nbconvert
blobfile==2.1.1
    # via
    #   autointerp-llm (pyproject.toml)
    #   automated-interpretability
boostedblob==0.15.6
    # via automated-interpretability
cachetools==5.5.2
    # via google-auth
certifi==2025.1.31
    # via
    #   httpcore
    #   httpx
    #   requests
    #   sentry-sdk
cffi==1.17.1
    # via argon2-cffi-bindings
charset-normalizer==3.4.1
    # via requests
click==8.1.8
    # via
    #   nltk
    #   typer
    #   wandb
cloudpickle==3.1.1
    # via submitit
comm==0.2.2
    # via
    #   ipykernel
    #   ipywidgets
config2py==0.1.36
    # via py2store
contourpy==1.3.1
    # via matplotlib
cycler==0.12.1
    # via matplotlib
datasets==2.17.1
    # via
    #   autointerp-llm (pyproject.toml)
    #   sae-lens
    #   transformer-lens
debugpy==1.8.12
    # via ipykernel
decorator==5.2.1
    # via ipython
defusedxml==0.7.1
    # via nbconvert
dill==0.3.8
    # via
    #   datasets
    #   multiprocess
distro==1.9.0
    # via openai
docker-pycreds==0.4.0
    # via wandb
dol==0.3.12
    # via
    #   config2py
    #   graze
    #   py2store
einops==0.8.1
    # via transformer-lens
executing==2.2.0
    # via stack-data
fancy-einsum==0.0.3
    # via transformer-lens
fastjsonschema==2.21.1
    # via nbformat
filelock==3.17.0
    # via
    #   blobfile
    #   datasets
    #   huggingface-hub
    #   torch
    #   transformers
fonttools==4.56.0
    # via matplotlib
fqdn==1.5.1
    # via jsonschema
frozenlist==1.5.0
    # via
    #   aiohttp
    #   aiosignal
fsspec==2023.10.0
    # via
    #   datasets
    #   huggingface-hub
    #   torch
gitdb==4.0.12
    # via gitpython
gitpython==3.1.44
    # via wandb
google-ai-generativelanguage==0.6.15
    # via google-generativeai
google-api-core==2.24.2
    # via
    #   google-ai-generativelanguage
    #   google-api-python-client
    #   google-generativeai
google-api-python-client==2.166.0
    # via google-generativeai
google-auth==2.38.0
    # via
    #   google-ai-generativelanguage
    #   google-api-core
    #   google-api-python-client
    #   google-auth-httplib2
    #   google-generativeai
google-auth-httplib2==0.2.0
    # via google-api-python-client
google-generativeai==0.8.4
    # via autointerp-llm (pyproject.toml)
googleapis-common-protos==1.69.2
    # via
    #   google-api-core
    #   grpcio-status
gprof2dot==2024.6.6
    # via pytest-profiling
graze==0.1.29
    # via babe
grpcio==1.71.0
    # via
    #   google-api-core
    #   grpcio-status
grpcio-status==1.71.0
    # via google-api-core
h11==0.14.0
    # via httpcore
httpcore==1.0.7
    # via httpx
httplib2==0.22.0
    # via
    #   google-api-python-client
    #   google-auth-httplib2
httpx==0.27.2
    # via
    #   automated-interpretability
    #   jupyterlab
    #   openai
huggingface-hub==0.24.0
    # via
    #   autointerp-llm (pyproject.toml)
    #   accelerate
    #   datasets
    #   sentence-transformers
    #   tokenizers
    #   transformers
hydra-core==1.3.2
    # via hydra-zen
hydra-zen==0.13.0
    # via autointerp-llm (pyproject.toml)
i2==0.1.46
    # via config2py
idna==3.10
    # via
    #   anyio
    #   httpx
    #   jsonschema
    #   requests
    #   yarl
importlib-resources==6.5.2
    # via py2store
iniconfig==2.0.0
    # via pytest
ipykernel==6.29.5
    # via
    #   autointerp-llm (pyproject.toml)
    #   jupyter
    #   jupyter-console
    #   jupyterlab
ipython==9.0.1
    # via
    #   ipykernel
    #   ipywidgets
    #   jupyter-console
ipython-pygments-lexers==1.1.1
    # via ipython
ipywidgets==8.1.5
    # via jupyter
isoduration==20.11.0
    # via jsonschema
jaxtyping==0.2.38
    # via transformer-lens
jedi==0.19.2
    # via ipython
jinja2==3.1.5
    # via
    #   jupyter-server
    #   jupyterlab
    #   jupyterlab-server
    #   nbconvert
    #   torch
jiter==0.9.0
    # via openai
joblib==1.4.2
    # via
    #   nltk
    #   pynndescent
    #   scikit-learn
json5==0.10.0
    # via jupyterlab-server
jsonpointer==3.0.0
    # via jsonschema
jsonschema==4.23.0
    # via
    #   jupyter-events
    #   jupyterlab-server
    #   nbformat
jsonschema-specifications==2024.10.1
    # via jsonschema
jupyter==1.1.1
    # via autointerp-llm (pyproject.toml)
jupyter-client==8.6.3
    # via
    #   ipykernel
    #   jupyter-console
    #   jupyter-server
    #   nbclient
jupyter-console==6.6.3
    # via jupyter
jupyter-core==5.7.2
    # via
    #   ipykernel
    #   jupyter-client
    #   jupyter-console
    #   jupyter-server
    #   jupyterlab
    #   nbclient
    #   nbconvert
    #   nbformat
jupyter-events==0.12.0
    # via jupyter-server
jupyter-lsp==2.2.5
    # via jupyterlab
jupyter-server==2.15.0
    # via
    #   jupyter-lsp
    #   jupyterlab
    #   jupyterlab-server
    #   notebook
    #   notebook-shim
jupyter-server-terminals==0.5.3
    # via jupyter-server
jupyterlab==4.3.5
    # via
    #   jupyter
    #   notebook
jupyterlab-pygments==0.3.0
    # via nbconvert
jupyterlab-server==2.27.3
    # via
    #   jupyterlab
    #   notebook
jupyterlab-widgets==3.0.13
    # via ipywidgets
kiwisolver==1.4.8
    # via matplotlib
kmeans-pytorch==0.3
    # via autointerp-llm (pyproject.toml)
llvmlite==0.44.0
    # via
    #   numba
    #   pynndescent
lxml==4.9.4
    # via
    #   blobfile
    #   boostedblob
markdown-it-py==3.0.0
    # via rich
markupsafe==3.0.2
    # via
    #   jinja2
    #   nbconvert
matplotlib==3.10.1
    # via
    #   sae-lens
    #   seaborn
matplotlib-inline==0.1.7
    # via
    #   ipykernel
    #   ipython
    #   sae-lens
mdurl==0.1.2
    # via markdown-it-py
mistune==3.1.2
    # via nbconvert
mpmath==1.3.0
    # via sympy
multidict==6.1.0
    # via
    #   aiohttp
    #   yarl
multiprocess==0.70.16
    # via datasets
nbclient==0.10.2
    # via nbconvert
nbconvert==7.16.6
    # via
    #   jupyter
    #   jupyter-server
nbformat==5.10.4
    # via
    #   jupyter-server
    #   nbclient
    #   nbconvert
nest-asyncio==1.6.0
    # via ipykernel
networkx==3.4.2
    # via torch
nltk==3.9.1
    # via sae-lens
notebook==7.3.2
    # via jupyter
notebook-shim==0.2.4
    # via
    #   jupyterlab
    #   notebook
numba==0.61.2
    # via
    #   pynndescent
    #   umap-learn
numpy==1.26.4
    # via
    #   autointerp-llm (pyproject.toml)
    #   accelerate
    #   automated-interpretability
    #   contourpy
    #   datasets
    #   matplotlib
    #   numba
    #   pandas
    #   patsy
    #   plotly-express
    #   scikit-learn
    #   scipy
    #   seaborn
    #   statsmodels
    #   transformer-lens
    #   transformers
    #   umap-learn
nvidia-cublas-cu12==12.4.5.8
    # via
    #   nvidia-cudnn-cu12
    #   nvidia-cusolver-cu12
    #   torch
nvidia-cuda-cupti-cu12==12.4.127
    # via torch
nvidia-cuda-nvrtc-cu12==12.4.127
    # via torch
nvidia-cuda-runtime-cu12==12.4.127
    # via torch
nvidia-cudnn-cu12==9.1.0.70
    # via torch
nvidia-cufft-cu12==11.2.1.3
    # via torch
nvidia-curand-cu12==10.3.5.147
    # via torch
nvidia-cusolver-cu12==11.6.1.9
    # via torch
nvidia-cusparse-cu12==12.3.1.170
    # via
    #   nvidia-cusolver-cu12
    #   torch
nvidia-cusparselt-cu12==0.6.2
    # via torch
nvidia-nccl-cu12==2.21.5
    # via torch
nvidia-nvjitlink-cu12==12.4.127
    # via
    #   nvidia-cusolver-cu12
    #   nvidia-cusparse-cu12
    #   torch
nvidia-nvtx-cu12==12.4.127
    # via torch
omegaconf==2.3.0
    # via
    #   hydra-core
    #   hydra-zen
openai==1.77.0
    # via autointerp-llm (pyproject.toml)
orjson==3.10.15
    # via automated-interpretability
overrides==7.7.0
    # via jupyter-server
packaging==24.2
    # via
    #   accelerate
    #   datasets
    #   huggingface-hub
    #   hydra-core
    #   ipykernel
    #   jupyter-events
    #   jupyter-server
    #   jupyterlab
    #   jupyterlab-server
    #   matplotlib
    #   nbconvert
    #   plotly
    #   pytest
    #   statsmodels
    #   transformers
pandas==2.2.3
    # via
    #   autointerp-llm (pyproject.toml)
    #   babe
    #   datasets
    #   plotly-express
    #   seaborn
    #   statsmodels
    #   transformer-lens
pandocfilters==1.5.1
    # via nbconvert
parso==0.8.4
    # via jedi
patsy==1.0.1
    # via
    #   plotly-express
    #   statsmodels
pexpect==4.9.0
    # via ipython
pillow==11.1.0
    # via
    #   matplotlib
    #   sentence-transformers
platformdirs==4.3.6
    # via
    #   jupyter-core
    #   wandb
plotly==5.24.1
    # via
    #   plotly-express
    #   sae-lens
plotly-express==0.4.1
    # via sae-lens
pluggy==1.5.0
    # via pytest
prometheus-client==0.21.1
    # via jupyter-server
prompt-toolkit==3.0.50
    # via
    #   ipython
    #   jupyter-console
propcache==0.3.0
    # via
    #   aiohttp
    #   yarl
proto-plus==1.26.1
    # via
    #   google-ai-generativelanguage
    #   google-api-core
protobuf==5.29.3
    # via
    #   google-ai-generativelanguage
    #   google-api-core
    #   google-generativeai
    #   googleapis-common-protos
    #   grpcio-status
    #   proto-plus
    #   wandb
psutil==7.0.0
    # via
    #   accelerate
    #   ipykernel
    #   wandb
ptyprocess==0.7.0
    # via
    #   pexpect
    #   terminado
pure-eval==0.2.3
    # via stack-data
py2store==0.1.20
    # via babe
pyarrow==19.0.1
    # via datasets
pyarrow-hotfix==0.6
    # via datasets
pyasn1==0.6.1
    # via
    #   pyasn1-modules
    #   rsa
pyasn1-modules==0.4.2
    # via google-auth
pycparser==2.22
    # via cffi
pycryptodomex==3.21.0
    # via
    #   blobfile
    #   boostedblob
pydantic==2.10.6
    # via
    #   autointerp-llm (pyproject.toml)
    #   google-generativeai
    #   openai
    #   wandb
pydantic-core==2.27.2
    # via pydantic
pygments==2.19.1
    # via
    #   ipython
    #   ipython-pygments-lexers
    #   jupyter-console
    #   nbconvert
    #   rich
pynndescent==0.5.13
    # via umap-learn
pyparsing==3.2.1
    # via
    #   httplib2
    #   matplotlib
pytest==8.3.5
    # via
    #   autointerp-llm (pyproject.toml)
    #   pytest-profiling
pytest-profiling==1.8.1
    # via sae-lens
python-dateutil==2.9.0.post0
    # via
    #   arrow
    #   jupyter-client
    #   matplotlib
    #   pandas
python-dotenv==1.0.1
    # via
    #   autointerp-llm (pyproject.toml)
    #   sae-lens
python-json-logger==3.2.1
    # via jupyter-events
pytz==2025.1
    # via pandas
pyyaml==6.0.2
    # via
    #   accelerate
    #   datasets
    #   huggingface-hub
    #   jupyter-events
    #   omegaconf
    #   sae-lens
    #   transformers
    #   wandb
pyzmq==26.0.0
    # via
    #   ipykernel
    #   jupyter-client
    #   jupyter-console
    #   jupyter-server
    #   sae-lens
referencing==0.36.2
    # via
    #   jsonschema
    #   jsonschema-specifications
    #   jupyter-events
regex==2024.11.6
    # via
    #   nltk
    #   tiktoken
    #   transformers
requests==2.32.3
    # via
    #   datasets
    #   fsspec
    #   google-api-core
    #   graze
    #   huggingface-hub
    #   jupyterlab-server
    #   tiktoken
    #   transformers
    #   wandb
rfc3339-validator==0.1.4
    # via
    #   jsonschema
    #   jupyter-events
rfc3986-validator==0.1.1
    # via
    #   jsonschema
    #   jupyter-events
rich==13.9.4
    # via
    #   transformer-lens
    #   typer
rpds-py==0.23.1
    # via
    #   jsonschema
    #   referencing
rsa==4.9
    # via google-auth
sae-lens==3.19.1
    # via autointerp-llm (pyproject.toml)
safetensors==0.4.5
    # via
    #   accelerate
    #   sae-lens
    #   transformers
scikit-learn==1.6.1
    # via
    #   autointerp-llm (pyproject.toml)
    #   automated-interpretability
    #   pynndescent
    #   sentence-transformers
    #   umap-learn
scipy==1.15.2
    # via
    #   autointerp-llm (pyproject.toml)
    #   plotly-express
    #   pynndescent
    #   scikit-learn
    #   sentence-transformers
    #   statsmodels
    #   umap-learn
seaborn==0.13.2
    # via autointerp-llm (pyproject.toml)
send2trash==1.8.3
    # via jupyter-server
sentence-transformers==3.4.1
    # via autointerp-llm (pyproject.toml)
sentencepiece==0.2.0
    # via transformer-lens
sentry-sdk==2.22.0
    # via wandb
setproctitle==1.3.5
    # via wandb
setuptools==75.8.2
    # via
    #   jupyterlab
    #   torch
    #   wandb
shellingham==1.5.4
    # via typer
six==1.17.0
    # via
    #   docker-pycreds
    #   pytest-profiling
    #   python-dateutil
    #   rfc3339-validator
smmap==5.0.2
    # via gitdb
sniffio==1.3.1
    # via
    #   anyio
    #   httpx
    #   openai
soupsieve==2.6
    # via beautifulsoup4
stack-data==0.6.3
    # via ipython
statsmodels==0.14.4
    # via plotly-express
submitit==1.5.2
    # via autointerp-llm (pyproject.toml)
sympy==1.13.1
    # via torch
tenacity==9.0.0
    # via plotly
terminado==0.18.1
    # via
    #   jupyter-server
    #   jupyter-server-terminals
threadpoolctl==3.5.0
    # via scikit-learn
tiktoken==0.9.0
    # via automated-interpretability
tinycss2==1.4.0
    # via bleach
tokenizers==0.21.0
    # via transformers
torch==2.6.0+cu124
    # via
    #   autointerp-llm (pyproject.toml)
    #   accelerate
    #   sentence-transformers
    #   transformer-lens
tornado==6.4.2
    # via
    #   ipykernel
    #   jupyter-client
    #   jupyter-server
    #   jupyterlab
    #   notebook
    #   terminado
tqdm==4.67.1
    # via
    #   autointerp-llm (pyproject.toml)
    #   datasets
    #   google-generativeai
    #   huggingface-hub
    #   nltk
    #   openai
    #   sentence-transformers
    #   transformer-lens
    #   transformers
    #   umap-learn
traitlets==5.14.3
    # via
    #   comm
    #   ipykernel
    #   ipython
    #   ipywidgets
    #   jupyter-client
    #   jupyter-console
    #   jupyter-core
    #   jupyter-events
    #   jupyter-server
    #   jupyterlab
    #   matplotlib-inline
    #   nbclient
    #   nbconvert
    #   nbformat
transformer-lens==2.15.0
    # via sae-lens
transformers==4.48.0
    # via
    #   autointerp-llm (pyproject.toml)
    #   sae-lens
    #   sentence-transformers
    #   transformer-lens
    #   transformers-stream-generator
transformers-stream-generator==0.0.5
    # via transformer-lens
triton==3.2.0
    # via torch
typeguard==4.4.2
    # via transformer-lens
typer==0.12.5
    # via sae-lens
types-python-dateutil==2.9.0.20241206
    # via arrow
typing-extensions==4.12.2
    # via
    #   anyio
    #   beautifulsoup4
    #   google-generativeai
    #   huggingface-hub
    #   hydra-zen
    #   openai
    #   pydantic
    #   pydantic-core
    #   referencing
    #   sae-lens
    #   submitit
    #   torch
    #   transformer-lens
    #   typeguard
    #   typer
tzdata==2025.1
    # via pandas
umap-learn==0.5.7
    # via autointerp-llm (pyproject.toml)
uri-template==1.3.0
    # via jsonschema
uritemplate==4.1.1
    # via google-api-python-client
urllib3==2.3.0
    # via
    #   blobfile
    #   requests
    #   sentry-sdk
uvloop==0.21.0
    # via boostedblob
wadler-lindig==0.1.3
    # via jaxtyping
wandb==0.19.7
    # via
    #   autointerp-llm (pyproject.toml)
    #   transformer-lens
wcwidth==0.2.13
    # via prompt-toolkit
webcolors==24.11.1
    # via jsonschema
webencodings==0.5.1
    # via
    #   bleach
    #   tinycss2
websocket-client==1.8.0
    # via jupyter-server
widgetsnbextension==4.0.13
    # via ipywidgets
xxhash==3.5.0
    # via datasets
yarl==1.18.3
    # via aiohttp
zstandard==0.22.0
    # via sae-lens
