2025 "language model interpretability" Papers

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Conference

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From Models to Microtheories: Distilling a Model's Topical Knowledge for Grounded Question-Answering

Nathaniel Weir, Bhavana Dalvi Mishra, Orion Weller et al.

ICLR 2025posterarXiv:2412.17701
3
citations

Rethinking Circuit Completeness in Language Models: AND, OR, and ADDER Gates

Hang Chen, Jiaying Zhu, Xinyu Yang et al.

NeurIPS 2025posterarXiv:2505.10039
3
citations

Rethinking Evaluation of Sparse Autoencoders through the Representation of Polysemous Words

Gouki Gouki, Hiroki Furuta, Yusuke Iwasawa et al.

ICLR 2025posterarXiv:2501.06254
9
citations

Scaling and evaluating sparse autoencoders

Leo Gao, Tom Dupre la Tour, Henk Tillman et al.

ICLR 2025posterarXiv:2406.04093
298
citations

Towards Interpretability Without Sacrifice: Faithful Dense Layer Decomposition with Mixture of Decoders

James Oldfield, Shawn Im, Sharon Li et al.

NeurIPS 2025posterarXiv:2505.21364