Stylegan-Induced Data-Driven Regularization for Inverse Problems. - Arthur Conmy; Subhadip Mukherjee; Carola-Bibiane Schönlieb (ICASSP, 2022)

Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 Small. - Kevin Ro Wang; Alexandre Variengien; Arthur Conmy; Buck Shlegeris; Jacob Steinhardt (ICLR, 2023)

Towards Automated Circuit Discovery for Mechanistic Interpretability. - Arthur Conmy; Augustine N. Mavor-Parker; Aengus Lynch; Stefan Heimersheim; Adrià Garriga-Alonso (NeurIPS, 2023)

Copy Suppression: Comprehensively Understanding an Attention Head. - Callum McDougall; Arthur Conmy; Cody Rushing; Thomas McGrath; Neel Nanda (CoRR, 2023)

Attribution Patching Outperforms Automated Circuit Discovery. - Aaquib Syed; Can Rager; Arthur Conmy (CoRR, 2023)

Successor Heads: Recurring, Interpretable Attention Heads In The Wild. - Rhys Gould; Euan Ong; George Ogden; Arthur Conmy (ICLR, 2024)

Stealing part of a production language model. - Nicholas Carlini; Daniel Paleka; Krishnamurthy Dj Dvijotham; Thomas Steinke 002; Jonathan Hayase; A. Feder Cooper; Katherine Lee; Matthew Jagielski; Milad Nasr; Arthur Conmy; Eric Wallace; David Rolnick; et al. (ICML, 2024)

Improving Sparse Decomposition of Language Model Activations with Gated Sparse Autoencoders. - Senthooran Rajamanoharan; Arthur Conmy; Lewis Smith; Tom Lieberum; Vikrant Varma; János Kramár; Rohin Shah; Neel Nanda (NeurIPS, 2024)

Improving Dictionary Learning with Gated Sparse Autoencoders. - Senthooran Rajamanoharan; Arthur Conmy; Lewis Smith; Tom Lieberum; Vikrant Varma; János Kramár; Rohin Shah; Neel Nanda (CoRR, 2024)

Interpreting Attention Layer Outputs with Sparse Autoencoders. - Connor Kissane; Robert Krzyzanowski; Joseph Isaac Bloom; Arthur Conmy; Neel Nanda (CoRR, 2024)

Jumping Ahead: Improving Reconstruction Fidelity with JumpReLU Sparse Autoencoders. - Senthooran Rajamanoharan; Tom Lieberum; Nicolas Sonnerat; Arthur Conmy; Vikrant Varma; János Kramár; Neel Nanda (CoRR, 2024)

Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2. - Tom Lieberum; Senthooran Rajamanoharan; Arthur Conmy; Lewis Smith; Nicolas Sonnerat; Vikrant Varma; János Kramár; Anca D. Dragan; Rohin Shah; Neel Nanda (CoRR, 2024)

Applying sparse autoencoders to unlearn knowledge in language models. - Eoin Farrell; Yeu-Tong Lau; Arthur Conmy (CoRR, 2024)

Improving Steering Vectors by Targeting Sparse Autoencoder Features. - Sviatoslav Chalnev; Matthew Siu; Arthur Conmy (CoRR, 2024)

Open Problems in Mechanistic Interpretability. - Lee Sharkey; Bilal Chughtai; Joshua Batson; Jack Lindsey; Jeff Wu 003; Lucius Bushnaq; Nicholas Goldowsky-Dill; Stefan Heimersheim; Alejandro Ortega; Joseph Isaac Bloom; Stella Biderman; Adrià Garriga-Alonso; et al. (CoRR, 2025)

Chain-of-Thought Reasoning In The Wild Is Not Always Faithful. - Iván Arcuschin; Jett Janiak; Robert Krzyzanowski; Senthooran Rajamanoharan; Neel Nanda; Arthur Conmy (CoRR, 2025)

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)

An Approach to Technical AGI Safety and Security. - Rohin Shah; Alex Irpan; Alexander Matt Turner; Anna Wang; Arthur Conmy; David Lindner; Jonah Brown-Cohen; Lewis Ho; Neel Nanda; Raluca Ada Popa; Rishub Jain; Rory Greig; et al. (CoRR, 2025)

Scaling sparse feature circuit finding for in-context learning. - Dmitrii Kharlapenko; Stepan Shabalin; Fazl Barez; Arthur Conmy; Neel Nanda (CoRR, 2025)

Interpreting Large Text-to-Image Diffusion Models with Dictionary Learning. - Stepan Shabalin; Ayush Panda; Dmitrii Kharlapenko; Abdur Raheem Ali; Yixiong Hao; Arthur Conmy (CoRR, 2025)

Line of Sight: On Linear Representations in VLLMs. - Achyuta Rajaram; Sarah Schwettmann; Jacob Andreas; Arthur Conmy (CoRR, 2025)

Understanding Reasoning in Thinking Language Models via Steering Vectors. - Constantin Venhoff; Iván Arcuschin; Philip Torr 001; Arthur Conmy; Neel Nanda (CoRR, 2025)

Thought Anchors: Which LLM Reasoning Steps Matter? - Paul C. Bogdan; Uzay Macar; Neel Nanda; Arthur Conmy (CoRR, 2025)