Researchers at the BerkeleyAI Research lab have unveiled a framework that maps interactions between internal components of large language models, enabling scientists to trace how individual tokens influence downstream decisions.
The Signal
By scaling this analysis to millions of interactions, the study offers a lens on model behavior, aiding developers to audit, debug, and improve AI systems for safer deployment.