dailyai.report

Two LLM modules, an activation verbalizer and reconstructor, now map internal activations to text descriptions using reinforcement learning. This unsupervised method produced plausible interpretations of model internals during a pre-deployment audit of Claude Opus 4.6. The approach allows researchers to diagnose safety-relevant behaviors. It provides a concrete path for auditing black-box model activations.