Emergent Introspective Awareness in Large Language Models

This study investigates whether large language models can introspect on their internal states by injecting known concepts into activations and measuring self-reported state changes. Results show some models can detect injected concepts, recall prior representations, and modulate activations when prompted, indicating limited functional introspective awareness.

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