A new research paper from Anthropic identifies specific features within Claude that correspond to abstract concepts. The team used dictionary learning to decode how the model represents complex ideas internally. This transparency helps researchers predict and mitigate harmful model behaviors. It provides a concrete method for steering AI outputs without relying on trial-and-error prompting.