Ensembl 2016. - Andrew D. Yates; Wasiu A. Akanni; M. Ridwan Amode; Daniel Barrell; Konstantinos Billis; Denise Carvalho-Silva; Carla A. Cummins; Peter Clapham; Stephen Fitzgerald; Laurent Gil; Carlos García-Girón; Leo Gordon; et al. (Nucleic Acids Res., 2016)

Truth in the 'killer robots' angle? - Matthew Rahtz (AI Matters, 2017)

An Extensible Interactive Interface for Agent Design. - Matthew Rahtz; James Fang; Anca D. Dragan; Dylan Hadfield-Menell (CoRR, 2019)

Safe Deep RL in 3D Environments using Human Feedback. - Matthew Rahtz; Vikrant Varma; Ramana Kumar; Zachary Kenton; Shane Legg; Jan Leike (CoRR, 2022)

Tracr: Compiled Transformers as a Laboratory for Interpretability. - David Lindner; János Kramár; Sebastian Farquhar; Matthew Rahtz; Tom McGrath; Vladimir Mikulik (NeurIPS, 2023)

Tracr: Compiled Transformers as a Laboratory for Interpretability. - David Lindner; János Kramár; Matthew Rahtz; Thomas McGrath; Vladimir Mikulik (CoRR, 2023)

Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in Chinchilla. - Tom Lieberum; Matthew Rahtz; János Kramár; Neel Nanda; Geoffrey Irving; Rohin Shah; Vladimir Mikulik (CoRR, 2023)

The Hydra Effect: Emergent Self-repair in Language Model Computations. - Thomas McGrath; Matthew Rahtz; János Kramár; Vladimir Mikulik; Shane Legg (CoRR, 2023)

Evaluating Frontier Models for Dangerous Capabilities. - Mary Phuong; Matthew Aitchison; Elliot Catt; Sarah Cogan; Alexandre Kaskasoli; Victoria Krakovna; David Lindner; Matthew Rahtz; Yannis Assael; Sarah Hodkinson; Heidi Howard; Tom Lieberum; et al. (CoRR, 2024)

A Mechanism-Based Approach to Mitigating Harms from Persuasive Generative AI. - Seliem El-Sayed; Canfer Akbulut; Amanda McCroskery; Geoff Keeling; Zachary Kenton; Zaria Jalan; Nahema Marchal; Arianna Manzini; Toby Shevlane; Shannon Vallor; Daniel Susser; Matija Franklin; et al. (CoRR, 2024)