Sparse autoencoders trained on ESM-2 recover thousands of interpretable features that align with Swiss-Prot concepts and can influence sequence generation.
The Claude 3 Model Family: Opus, Sonnet, Haiku, 2024
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InterPLM: Discovering Interpretable Features in Protein Language Models via Sparse Autoencoders
Sparse autoencoders trained on ESM-2 recover thousands of interpretable features that align with Swiss-Prot concepts and can influence sequence generation.