Anthropic 在 Claude 內部發現了「恐慌」一詞
anthropic 使用一項新技術窺視 claude 內部，發現數百萬個影響輸出的隱藏特徵，揭示了模型可以監控其自身的內部狀態。
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.