3 papers
cs.CL2025
How Do LLMs Persuade? Linear Probes Can Uncover Persuasion Dynamics in Multi-Turn Conversations
Brandon Jaipersaud, David Krueger, Ekdeep Singh Lubana
Large Language Models (LLMs) have started to demonstrate the ability to persuade humans, yet our understanding of how this dynamic transpires is limited. Recent work has used linea…
cs.AI2024
Towards Reliable Evaluation of Behavior Steering Interventions in LLMs
Itamar Pres, Laura Ruis, Ekdeep Singh Lubana +1
Representation engineering methods have recently shown promise for enabling efficient steering of model behavior. However, evaluation pipelines for these methods have primarily rel…
cs.LG2024
Analyzing (In)Abilities of SAEs via Formal Languages
Abhinav Menon, Manish Shrivastava, David Krueger +1
Autoencoders have been used for finding interpretable and disentangled features underlying neural network representations in both image and text domains. While the efficacy and pit…