Neuro-symbolic Commonsense Social Reasoning. - David Chanin; Anthony Hunter (CoRR, 2023)

Open-source Frame Semantic Parsing. - David Chanin (CoRR, 2023)

Identifying Linear Relational Concepts in Large Language Models. - David Chanin; Anthony Hunter; Oana-Maria Camburu (NAACL-HLT, 2024)

Analysing the Generalisation and Reliability of Steering Vectors. - Daniel Tan; David Chanin; Aengus Lynch; Brooks Paige; Dimitrios Kanoulas; Adrià Garriga-Alonso; Robert Kirk (NeurIPS, 2024)

Analyzing the Generalization and Reliability of Steering Vectors. - Daniel Tan; David Chanin; Aengus Lynch; Dimitrios Kanoulas; Brooks Paige; Adrià Garriga-Alonso; Robert Kirk (CoRR, 2024)

A is for Absorption: Studying Feature Splitting and Absorption in Sparse Autoencoders. - David Chanin; James Wilken-Smith; Tomás Dulka; Hardik Bhatnagar; Joseph Bloom (CoRR, 2024)

SAEBench: A Comprehensive Benchmark for Sparse Autoencoders in Language Model Interpretability. - Adam Karvonen; Can Rager; Johnny Lin; Curt Tigges; Joseph Isaac Bloom; David Chanin; Yeu-Tong Lau; Eoin Farrell; Callum McDougall; Kola Ayonrinde; Matthew Wearden; Arthur Conmy; et al. (CoRR, 2025)

Feature Hedging: Correlated Features Break Narrow Sparse Autoencoders. - David Chanin; Tomás Dulka; Adrià Garriga-Alonso (CoRR, 2025)