Anthropic、Claudeの内部に「パニック」を引き起こす単語を発見
Anthropicは新しい手法を用いてClaudeの内部を観察し、出力に影響を与える数百万の隠れた特徴を発見。モデルが自身の内部状態を監視できることを明らかにした。
anthropic released a study on 'mechanistic interpretability', mapping millions of internal features within its claude models to decode their decision-making processes. researchers identified a 'j-space' where concepts—like 'panic' or 'protein'—appear internally to guide reasoning without surfacing in the final text. this demonstrates that large language models maintain complex internal states and self-monitoring capabilities, suggesting that future alignment work could target these hidden layers to ensure safety rather than just observing external behavior.