Luke Marks

According to our database, Luke Marks authored at least 8 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

DiFR: Inference Verification Despite Nondeterminism.

Adam Karvonen, Daniel Reuter, Roy Rinberg, Luke Marks, Adrià Garriga-Alonso, Keri Warr

CoRR, November, 2025

Output Supervision Can Obfuscate the Chain of Thought.

Jacob Drori, Luke Marks, Bryce Woodworth, Alex Cloud, Alexander Matt Turner

CoRR, November, 2025

Beyond Linear Steering: Unified Multi-Attribute Control for Language Models.

Narmeen Oozeer, Luke Marks, Fazl Barez, Amir Abdullah

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

TinySQL: A Progressive Text-to-SQL Dataset for Mechanistic Interpretability Research.

Abir Harrasse, Philip Quirke, Clement Neo, Dhruv Nathawani, Luke Marks, Amir Abdullah

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

Enhancing Neural Network Interpretability with Feature-Aligned Sparse Autoencoders.

Luke Marks, Alasdair Paren, David Krueger, Fazl Barez

CoRR, 2024

Informal Safety Guarantees for Simulated Optimizers Through Extrapolation from Partial Simulations.

Luke Marks

CoRR, 2024

Interpreting Learned Feedback Patterns in Large Language Models.

Luke Marks, Amir Abdullah, Clement Neo, Rauno Arike, David Krueger, Philip Torr, Fazl Barez

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

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