Learnable Commutative Monoids for Graph Neural Networks. - Euan Ong; Petar Velickovic (LoG, 2022)

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

Image Hijacks: Adversarial Images can Control Generative Models at Runtime. - Luke Bailey; Euan Ong; Stuart Russell 001; Scott Emmons (ICML, 2024)

Compact Proofs of Model Performance via Mechanistic Interpretability. - Jason Gross; Rajashree Agrawal; Thomas Kwa; Euan Ong; Chun Hei Yip; Alex Gibson; Soufiane Noubir; Lawrence Chan (NeurIPS, 2024)

Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red Teaming. - Mrinank Sharma; Meg Tong; Jesse Mu; Jerry Wei; Jorrit Kruthoff; Scott Goodfriend; Euan Ong; Alwin Peng; Raj Agarwal; Cem Anil; Amanda Askell; Nathan Bailey; et al. (CoRR, 2025)

Auditing language models for hidden objectives. - Samuel Marks; Johannes Treutlein; Trenton Bricken; Jack Lindsey; Jonathan Marcus; Siddharth Mishra-Sharma; Daniel M. Ziegler; Emmanuel Ameisen; Joshua Batson; Tim Belonax; Samuel R. Bowman; Shan Carter; et al. (CoRR, 2025)