Meta-learning of Sequential Strategies. - Pedro A. Ortega; Jane X. Wang; Mark Rowland 001; Tim Genewein; Zeb Kurth-Nelson; Razvan Pascanu; Nicolas Heess; Joel Veness; Alexander Pritzel; Pablo Sprechmann; Siddhant M. Jayakumar; Tom McGrath 001; et al. (CoRR, 2019)

Meta-trained agents implement Bayes-optimal agents. - Vladimir Mikulik; Grégoire Delétang; Tom McGrath 001; Tim Genewein; Miljan Martic; Shane Legg; Pedro A. Ortega (NeurIPS, 2020)

Algorithms for Causal Reasoning in Probability Trees. - Tim Genewein; Tom McGrath 001; Grégoire Delétang; Vladimir Mikulik; Miljan Martic; Shane Legg; Pedro A. Ortega (CoRR, 2020)

Causal Analysis of Agent Behavior for AI Safety. - Grégoire Delétang; Jordi Grau-Moya; Miljan Martic; Tim Genewein; Tom McGrath 001; Vladimir Mikulik; Markus Kunesch; Shane Legg; Pedro A. Ortega (CoRR, 2021)

Acquisition of Chess Knowledge in AlphaZero. - Thomas McGrath 001; Andrei Kapishnikov; Nenad Tomasev; Adam Pearce; Demis Hassabis; Been Kim; Ulrich Paquet; Vladimir Kramnik (CoRR, 2021)

Resonant-Tunnelling Diodes as PUF Building Blocks. - Ibrahim Ethem Bagci; Thomas McGrath 001; Christine Barthelmes; Scott Dean; RamÓn Bernardo Gavito; Robert J. Young; Utz Roedig (IEEE Trans. Emerg. Top. Comput., 2021)

Tracr: Compiled Transformers as a Laboratory for Interpretability. - David Lindner; János Kramár; Sebastian Farquhar; Matthew Rahtz; Tom McGrath 001; Vladimir Mikulik (NeurIPS, 2023)

Tracr: Compiled Transformers as a Laboratory for Interpretability. - David Lindner; János Kramár; Matthew Rahtz; Thomas McGrath 001; Vladimir Mikulik (CoRR, 2023)

The Hydra Effect: Emergent Self-repair in Language Model Computations. - Thomas McGrath 001; Matthew Rahtz; János Kramár; Vladimir Mikulik; Shane Legg (CoRR, 2023)

Copy Suppression: Comprehensively Understanding an Attention Head. - Callum McDougall; Arthur Conmy; Cody Rushing; Thomas McGrath 001; Neel Nanda (CoRR, 2023)

Bridging the Human-AI Knowledge Gap: Concept Discovery and Transfer in AlphaZero. - Lisa Schut; Nenad Tomasev; Tom McGrath 001; Demis Hassabis; Ulrich Paquet; Been Kim (CoRR, 2023)

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

Competitive secretary problem. - Tom McGrath 001; Marc Schröder 002 (Int. J. Game Theory, 2025)

Understanding sparse autoencoder scaling in the presence of feature manifolds. - Eric J. Michaud; Liv Gorton; Tom McGrath 001 (CoRR, 2025)

The Shape of Beliefs: Geometry, Dynamics, and Interventions along Representation Manifolds of Language Models' Posteriors. - Raphaël Sarfati; Eric J. Bigelow; Daniel Wurgaft; Jack Merullo; Atticus Geiger; Owen Lewis; Tom McGrath 001; Ekdeep Singh Lubana (CoRR, 2026)

Features as Rewards: Scalable Supervision for Open-Ended Tasks via Interpretability. - Aaditya Vikram Prasad; Connor Watts; Jack Merullo; Dhruvil Gala; Owen Lewis; Thomas McGrath 001; Ekdeep Singh Lubana (CoRR, 2026)

Shifting the Gradient: Understanding How Defensive Training Methods Protect Language Model Integrity. - Satchel Grant; Victor Gillioz; Jake Ward; Thomas McGrath 001 (CoRR, 2026)

Arithmetic in the Wild: Llama uses Base-10 Addition to Reason About Cyclic Concepts. - Sheridan Feucht; Tal Haklay; Usha Bhalla; Daniel Wurgaft; Can Rager; Raphaël Sarfati; Jack Merullo; Thomas McGrath 001; Owen Lewis; Ekdeep Singh Lubana; Thomas Fel; Atticus Geiger (CoRR, 2026)

Manifold Steering Reveals the Shared Geometry of Neural Network Representation and Behavior. - Daniel Wurgaft; Can Rager; Matthew Kowal; Vasudev Shyam; Sheridan Feucht; Usha Bhalla; Tal Haklay; Eric J. Bigelow; Raphaël Sarfati; Thomas McGrath 001; Owen Lewis; Jack Merullo; et al. (CoRR, 2026)

Stories in Space: In-Context Learning Trajectories in Conceptual Belief Space. - Eric J. Bigelow; Raphaël Sarfati; Daniel Wurgaft; Owen Lewis; Thomas McGrath 001; Jack Merullo; Atticus Geiger; Ekdeep Singh Lubana (CoRR, 2026)