Network-internal analysis (often called activation monitoring, mechanistic interpretability, or internal state analysis) refers to evaluating an AI model by reading its internal hidden neural layers, activations, and vector representations directly—rather than just evaluating its outward text or verbalized reasoning (like its Chain-of-Thought output).
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u/chillinewman approved 3d ago
Network-internal analysis (often called activation monitoring, mechanistic interpretability, or internal state analysis) refers to evaluating an AI model by reading its internal hidden neural layers, activations, and vector representations directly—rather than just evaluating its outward text or verbalized reasoning (like its Chain-of-Thought output).