sparse_autoencoder/__init__.py,sha256=X4lgA7xD05Dr2XW2vzrI6JC07wdaJFzvmzernmVNLfE,575
sparse_autoencoder/activation_store/__init__.py,sha256=MxNAmj3esWl4g-_MVdJaVrUvpG8mgZcSY3AzG6Gi1_g,408
sparse_autoencoder/activation_store/base_store.py,sha256=3DiPdnE7r4JAskUNn89-XNp5_ly4xBOY9CPxsjFwuUk,4489
sparse_autoencoder/activation_store/disk_store.py,sha256=lfldvQL4H0BR3PNEqA8Tkx1sPqFOAijkqyMoNtqytxU,9163
sparse_autoencoder/activation_store/list_store.py,sha256=tY28F1QXG_8rrSgZ_r1Q8dGb3D3v8z6eQgqcVrE_xC0,10097
sparse_autoencoder/activation_store/tensor_store.py,sha256=bfhA-raJIEwjfaup-rzJO8XWf9YAT9ySPahLrilWQ-k,7534
sparse_autoencoder/activation_store/utils/extend_resize.py,sha256=QOVHDJlDFQUtorOMPe3oQDjkEoizL9FvgWaeYIF7MD4,2702
sparse_autoencoder/activation_store/utils/tests/test_extend_resize.py,sha256=YCGFlEC3r-wvozkH1gqcBOy4sXvxUA4Ys1Iyn7cnrk0,3049
sparse_autoencoder/autoencoder/components/tests/test_tied_bias.py,sha256=nWVyhxcgvGUU8xZVHXbICPnl9be5JaJdJ0qIxDuAxZo,900
sparse_autoencoder/autoencoder/components/tests/test_unit_norm_linear.py,sha256=cDUjvbbiMsxzDaWkufUd3BVDzHDDf5nT6L8vkYmFlHI,867
sparse_autoencoder/autoencoder/components/tied_bias.py,sha256=eZz2b-Yh1sWAeqcoeVmt1ULL1LQyhWVOuC6O2WfVlNg,2173
sparse_autoencoder/autoencoder/components/unit_norm_linear.py,sha256=zCWNVwvgu9qAHdU_8W-UCnjdKjEHPRWZaHmaCvWoMAk,9401
sparse_autoencoder/autoencoder/loss.py,sha256=eEZXajWKO3u_Jq9XBWKPbpQNBOQDCpHT8r2IOR7HsNE,3523
sparse_autoencoder/autoencoder/model.py,sha256=3cypIUiF_sJUujkW5NIJPGxqXfDXTfdI6Dd6_pFmIb0,4951
sparse_autoencoder/autoencoder/tests/__snapshots__/test_model.ambr,sha256=bpVB-KdKFSfx_EiPW6NKGr37qQpWGXsIGfJLdDHgNC4,450
sparse_autoencoder/autoencoder/tests/test_loss.py,sha256=jP991VkJZeuCxDKLh3lw7eGYW9pZpxGcEDgllFL3E5Y,1184
sparse_autoencoder/autoencoder/tests/test_model.py,sha256=CzFYehPlb-ZgkE_UE8Xy1EwBLd4mLiXt2fKIrWhMO4g,1352
sparse_autoencoder/optimizer/adam_with_reset.py,sha256=gHNfLbggp3SLBQ8BxDKKW_Z8T-yOMj00VaJH_bSUUkk,8014
sparse_autoencoder/optimizer/tests/test_adam_with_reset.py,sha256=q8ixb8ibBUI9dq-IF0emYvaVcYR7Keo3jEzA0wd-sFo,2441
sparse_autoencoder/source_data/abstract_dataset.py,sha256=1XJwXTv7UqSas8P6s_j5EbJlCztAdnXjNOhE0TO4gMA,6919
sparse_autoencoder/source_data/c4_pre_tokenized.py,sha256=mZSbwJezojFkooCP_16RI7FrYlOb8bFMk6kRhyPKBxU,3758
sparse_autoencoder/source_data/pile_uncopyrighted.py,sha256=7WM6ZDfRAfDpfRhmu5QlQLV3s7a3cCKwXigl-OmOW-8,4444
sparse_autoencoder/source_data/random_int.py,sha256=DyduzVgrka3mtONJhzvlK8jzFnp4LW-R8lhyitYGhXs,4028
sparse_autoencoder/source_data/tests/mocks/text_dataset.txt,sha256=Aful1JHbqBQHhujMqdMT1cuexp2y2L9n5ikRICUSRYQ,2028
sparse_autoencoder/source_data/tests/test_abstract_dataset.py,sha256=tVPPx9xFCCqyKe4dYerKjxwlSSb7mm69dNIprnaEXBo,3223
sparse_autoencoder/source_data/tests/test_pile_uncopyrighted.py,sha256=W5UKdhMEogDTFLMOnvdpompT_rJmr6EjYZnaVHn0jP4,1445
sparse_autoencoder/src_model/store_activations_hook.py,sha256=Ly573V_08jX9WAELGcLGWiFSzvJmFvKBjen0Vh4jgBM,2022
sparse_autoencoder/src_model/tests/test_store_activations_hook.py,sha256=j5dO0bl9DYuiVsTV8Atm4L20zlAoJTH0W1Ek2Nx-Rcg,972
sparse_autoencoder/train/generate_activations.py,sha256=agtIrqk8Lw5KFYOKr2IWwm8IGTif2Dc-V_o5osXnPi8,3705
sparse_autoencoder/train/metrics/capacity.py,sha256=Sebjc6hvIQbCSFfhns6m5BjXgsbFmyxqJqb3kZXMkh0,2245
sparse_autoencoder/train/metrics/feature_density.py,sha256=gM_MLOVrK-XMRfpHH71df-8qgUYsvQnf3HvFs9ifKXI,2074
sparse_autoencoder/train/metrics/tests/__snapshots__/test_capacities.ambr,sha256=2g45lr-fHUKvkjMc7ctekf6hJ6alx8Uywp-qArQEbF4,222
sparse_autoencoder/train/metrics/tests/test_capacities.py,sha256=rX_rC3bOwPcUpR4Cok_gd5wimeQSybz8pCJOWpX0V7g,1462
sparse_autoencoder/train/metrics/tests/test_feature_density.py,sha256=DQ7BCJjfPhQ2xYmnvVDljmkZSJDsow3b5eT4fGKSSTs,1118
sparse_autoencoder/train/pipeline.py,sha256=UrwE2Y4yHGBwtrR-PS5ZNaxpWUDkpOfabi5hsZoEd0Y,7701
sparse_autoencoder/train/resample_neurons.py,sha256=wMqqnbXwoQ8GmBONQsttKn9GiuvRbZJC_tXNxTcZXUE,12651
sparse_autoencoder/train/sweep_config.py,sha256=jbzRZigWOV9mjBHPkcQ5w-GOuPMsuQFIOoEA4DObShc,2613
sparse_autoencoder/train/tests/test_generate_activations.py,sha256=ujT6XtSPEIw8YwW_Tr-U1c0t68rB7mYSv6Tre7pxeYA,1084
sparse_autoencoder/train/tests/test_resample_neurons.py,sha256=GlCR5Kff5SsYgC7A6y33hecfuAGLV9bc7vCVKrv_QJE,12118
sparse_autoencoder/train/train_autoencoder.py,sha256=McptD571vb2wsyADTzxVJkftw9RVe4AWqMfGe_rMaJ8,3188
sparse_autoencoder/train/utils/wandb_sweep_types.py,sha256=GCd13Qrk9QEfHCQqpLkVyS5zvXJC7vC0VVw99FbFDlc,5359
sparse_autoencoder-0.8.0.dist-info/LICENSE,sha256=8LZ3OhIJImJM6ZJ9EuXKRstpLZmTEZ3qUiRZLTu7AxY,1068
sparse_autoencoder-0.8.0.dist-info/METADATA,sha256=0mbDdQOOjNvTABZIQMJTsxXrivCEFV339FhNtEGrRpo,2183
sparse_autoencoder-0.8.0.dist-info/WHEEL,sha256=FMvqSimYX_P7y0a7UY-_Mc83r5zkBZsCYPm7Lr0Bsq4,88
sparse_autoencoder-0.8.0.dist-info/RECORD,,
