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Localizing and Editing Knowledge in LLMs with Peter Hase - #679
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Interpreting AI Model Decisions
The reasoning behind AI model decisions may not be based on truth or internal world models, but rather on next token prediction, aligning with information in a layer without a fundamental connection. Different frames may lead to different interpretations of AI model explanations, with one suggesting they generate human-like text and another suggesting they represent what is true or false.
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