InterPLM: Discovering Interpretable Features in Protein Language Models via Sparse Autoencoders

Simon & Zou (2024)

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Tags: beyond-text, protein, biology

Abstract

We apply sparse autoencoders to protein language models, discovering interpretable biological features corresponding to known protein properties.