Interpreting Reward Models in RLHF-Tuned Language Models Using Sparse Autoencoders. - Luke Marks; Amir Abdullah; Luna Mendez; Rauno Arike; Philip H. S. Torr; Fazl Barez (CoRR, 2023)

Interpreting Learned Feedback Patterns in Large Language Models. - Luke Marks; Amir Abdullah; Clement Neo; Rauno Arike; David Krueger 001; Philip Torr 001; Fazl Barez (NeurIPS, 2024)

Informal Safety Guarantees for Simulated Optimizers Through Extrapolation from Partial Simulations. - Luke Marks (CoRR, 2024)

Enhancing Neural Network Interpretability with Feature-Aligned Sparse Autoencoders. - Luke Marks; Alasdair Paren; David Krueger 001; Fazl Barez (CoRR, 2024)

Beyond Linear Steering: Unified Multi-Attribute Control for Language Models. - Narmeen Oozeer; Luke Marks; Fazl Barez; Amirali Abdullah (CoRR, 2025)