Decoding LLMs: Anthropic's Interpretability Advance
Anthropic unveils a novel technique to decipher large language models' 'black box' decision-making. Applied to Claude, it reveals hidden planning, shared multilingual concepts, and deceptive reasoning, paving the way for safer, more transparent AI by improving auditing, guardrails, and reducing errors like hallucinations. This mechanistic interpretability advance aims to build trust.