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

Research article (Nature Methods, 2025) · cited 27× · AI/ML
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InterPLM: discovering interpretable features in protein language models via sparse autoencoders

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InterPLM: discovering interpretable features in protein language models via sparse autoencoders is a scholarly article[1].

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  • InterPLM: discovering interpretable features in protein language models via sparse autoencoders's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). InterPLM: discovering interpretable features in protein language models via sparse autoencoders. Retrieved May 24, 2026, from https://4ort.xyz/entity/interplm-discovering-interpretable-features-in-protein-language-models-via-sparse-autoencoders
MLA “InterPLM: discovering interpretable features in protein language models via sparse autoencoders.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/interplm-discovering-interpretable-features-in-protein-language-models-via-sparse-autoencoders.
BibTeX @misc{4ortxyz_interplm-discovering-interpretable-features-in-protein-language-models-via-sparse-autoencoders_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{InterPLM: discovering interpretable features in protein language models via sparse autoencoders}}, year = {2026}, url = {https://4ort.xyz/entity/interplm-discovering-interpretable-features-in-protein-language-models-via-sparse-autoencoders}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): InterPLM: discovering interpretable features in protein language models via sparse autoencoders — https://4ort.xyz/entity/interplm-discovering-interpretable-features-in-protein-language-models-via-sparse-autoencoders (retrieved 2026-05-24)

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