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Author:
Subhash Kantamneni
License:
MIT
Summary:
Sparse probing benchmark for Sparse Autoencoders derived from the paper "Are Sparse Autoencoders Useful? A Case Study in Sparse Probing"
Latest version:
0.4.2
Required dependencies:
hf-transfer
|
pandas
|
pyarrow
|
sae-lens
|
scikit-learn
|
transformer-lens
|
xgboost
|
zstandard
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