In-Context Neurofeedback: Can LLMs Control Their Internal Representations through Privileged Access?
cs.AI
Submitted: 2026-09-01
Updated: 2026-09-01
Code: https://github.com/AokiKoshiro/in-context-neurofeedback
Terminology
Sources
- Does It Make Sense to Speak of Introspection in Large Language Models?
- The Llama 3 Herd of Models
- Detecting High-Stakes Interactions with Activation Probes
- Language Models (Mostly) Know What They Know
- Self-Interpretability: LLMs Can Describe Complex Internal Processes that Drive Their Decisions
- Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety
- Training Language Models to Explain Their Own Computations
- Privileged Self-Access Matters for Introspection in AI
- Steering Language Models With Activation Engineering
- Qwen3 Technical Report
- Reasoning Models Struggle to Control their Chains of Thought
- Representation Engineering: A Top-Down Approach to AI Transparency
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