Author

Euan Ong

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Preprint Aug 2026

Would this change your answer? Evaluating Explanations of LLM Behavior In The Wild with Counterfactual Experiments

This work introduces CHIVE (Counterfactual Hypothesis Investigation Via Edits), a novel agentic pipeline that identifies unexpected model behaviors in the wild and investigates them with counterfactual prompt edits, enabling us to evaluate and improve methods for explaining LLM behaviors.

Adam Karvonen, Euan Ong, Subhash Kantamneni et al. · 2 citations

Jul 2026

Verbalizable Representations Form a Global Workspace in Language Models

Evidence that an analogous functional distinction has emerged in large language models is presented, showing that language models maintain a small, privileged set of representations bearing some of the functional hallmarks of conscious access, and that decoding these representations sheds light on ongoing cognitive pro...

Wes Gurnee, Nicholas J. Sofroniew, Adam Pearce et al. · arXiv.org · 40 citations · ⚡6