Localizing Model Behavior with Path Patching. - Nicholas Goldowsky-Dill; Chris MacLeod; Lucas Sato; Aryaman Arora (CoRR, 2023)

Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning. - Dan Braun; Jordan Taylor; Nicholas Goldowsky-Dill; Lee Sharkey (NeurIPS, 2024)

Using Degeneracy in the Loss Landscape for Mechanistic Interpretability. - Lucius Bushnaq; Jake Mendel; Stefan Heimersheim; Dan Braun; Nicholas Goldowsky-Dill; Kaarel Hänni; Cindy Wu; Marius Hobbhahn (CoRR, 2024)

The Local Interaction Basis: Identifying Computationally-Relevant and Sparsely Interacting Features in Neural Networks. - Lucius Bushnaq; Stefan Heimersheim; Nicholas Goldowsky-Dill; Dan Braun; Jake Mendel; Kaarel Hänni; Avery Griffin; Jörn Stöhler; Magdalena Wache; Marius Hobbhahn (CoRR, 2024)

Towards evaluations-based safety cases for AI scheming. - Mikita Balesni; Marius Hobbhahn; David Lindner; Alexander Meinke; Tomek Korbak; Joshua Clymer; Buck Shlegeris; Jérémy Scheurer; Charlotte Stix; Rusheb Shah; Nicholas Goldowsky-Dill; Dan Braun; et al. (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)

Detecting Strategic Deception Using Linear Probes. - Nicholas Goldowsky-Dill; Bilal Chughtai; Stefan Heimersheim; Marius Hobbhahn (CoRR, 2025)