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New paper presents NLAs for translating LLM internal states into readable text
What happened
Jan Leike writes that he is excited about NLAs as a new tool in the interpretability toolkit. In the quoted post, @saprmarks presents NLAs as an unsupervised method for converting an LLM's internal state into human-readable text and says the results advance understanding of what LLMs are thinking and auditing them for safety.
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