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Presentation: Opening the Black Box: Critical Explainability for AI Agent Tool Selection with Kiji Inspector

Presentation: Opening the Black Box: Critical Explainability for AI Agent Tool Selection with Kiji Inspector

Hannes Hapke shares how Dataiku’s open-source Kiji Inspector applies Sparse Autoencoders (SAEs) directly to decision tokens to expose why agents pick specific tools. Moving past superficial chain-of-thought narratives, he discusses causal ablation, layer acti…

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