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The AI Scouting Report: Jailbreaks and Defense

"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

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Unpacking AI Refusal and Interpretability

This chapter explores the complexities of refusal behavior in AI, particularly how neural networks exhibit unexpected patterns in their activations. It highlights recent research on transformer models, focusing on polysemanticity and the representation of multiple concepts by individual neurons. The discussion concludes with a reflection on the implications of open-sourcing AI, including potential safety risks and the challenges of ensuring ethical use.

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