InterPLM: discovering interpretable features in protein language models via sparse autoencoders

Journal:
Nature Methods
Published:
DOI:
10.1038/s41592-025-02836-7
Affiliations:
1
Authors:
2
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Institutions Authors Share
Stanford University, United States of America (USA)
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