Yeu-Tong Lau

According to our database, Yeu-Tong Lau authored at least 4 papers between 2023 and 2025.

Collaborative distances:

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

2025

SAEBench: A Comprehensive Benchmark for Sparse Autoencoders in Language Model Interpretability.

Adam Karvonen, Can Rager, Johnny Lin, Curt Tigges, Joseph Isaac Bloom, David Chanin, Yeu-Tong Lau, Eoin Farrell, Callum McDougall, Kola Ayonrinde, Matthew Wearden, Arthur Conmy, Samuel Marks, Neel Nanda

CoRR, March, 2025

SAEBench: A Comprehensive Benchmark for Sparse Autoencoders in Language Model Interpretability.

Adam Karvonen, Can Rager, Johnny Lin, Curt Tigges, Joseph Isaac Bloom, David Chanin, Yeu-Tong Lau, Eoin Farrell, Callum McDougall, Kola Ayonrinde, Demian Till, Matthew Wearden, Arthur Conmy, Samuel Marks, Neel Nanda

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Applying sparse autoencoders to unlearn knowledge in language models.

Eoin Farrell, Yeu-Tong Lau, Arthur Conmy

CoRR, 2024

2023

An Adversarial Example for Direct Logit Attribution: Memory Management in gelu-4l.

James Dao, Yeu-Tong Lau, Can Rager, Jett Janiak

CoRR, 2023