Found 7 repositories(showing 7)
ElanaPearl
Discovering Interpretable Features in Protein Language Models via Sparse Autoencoders
YovaKem
No description available
sophiaa01
No description available
DonaldDai
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cihebi2
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A comprehensive study to reproduce and extend the InterPLM methodology for extracting and interpreting features from protein language models using large-scale protein sequence datasets.
A reproducibility study of InterPLM's protein language model feature interpretation methodology, applied to a large-scale protein dataset with comprehensive analysis of extracted features and their biological significance.
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