Neural network study sheds light on how AI chatbots 'reason' like humans

Researchers found that numeric vectors in large language models implicitly develop symbolic role-filler structures. Precise edits to these vector representations directly altered model outputs in language, logic, and coding tasks. This work provides computer scientists with a path toward inspecting and controlling model behavior.

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