Prototype Generation: Robust Feature Visualisation for Data Independent Interpretability. - Arush Tagade; Jessica Rumbelow (CoRR, 2023)

The SaTML '24 CNN Interpretability Competition: New Innovations for Concept-Level Interpretability. - Stephen Casper; Jieun Yun; Joonhyuk Baek; Yeseong Jung; Minhwan Kim; Kiwan Kwon; Saerom Park; Hayden Moore; David Shriver; Marissa Connor; Keltin Grimes; Angus Nicolson; 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)

Benchmarking the Discovery Engine. - Jack Foxabbott; Arush Tagade; Andrew Cusick; Robbie McCorkell; Leo McKee-Reid; Jugal Patel; Jamie Rumbelow; Jessica Rumbelow; Zohreh Shams (CoRR, 2025)