What are the specific attention heads or MLP neurons (circuits) responsible for self-reflection in LLMs?

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• Some MLP neurons and attention heads perform memory management by reading residual stream information and writing its negative to delete itclaim0.817
  Hypothesis based on observed negative cosine similarity between input and output weights of some neurons
• A linear reflection direction exists in reasoning LLMs' latent representation space that governs self-reflection behaviorclaim0.803
  Core claim of ReflCtrl that a single direction captures and controls reflection
• Most attention heads in one-layer models dedicate an enormous fraction of their capacity to copying behaviorclaim0.786
  Empirical observation from examining expanded OV/QK matrices; approximately 10 out of 12 heads show significant copying
• When LLMs claim consciousness under self-reference, is this sophisticated simulation or genuine self-representation, and how would we tell the difference?question0.781
  The paper's reformulation of the core open question after establishing systematic self-reports
• what is the underlying mechanism of self-reflection in reasoning LLMs?question0.780
  Open question motivating the entire paper; identified as not yet well understood
• Attention heads with positive projection on reflection direction are sparse and located mostly in deeper layers of DeepSeek-R1-Qwen-1.5Bfinding0.780
  Structural finding about which attention heads control reflection behavior
• The underlying mechanism of self-reflection in reasoning LLMs is not yet well understoodquestion0.777
  Broad gap motivating the entire paper
• Each attention head has two largely independent computations: a QK circuit computing the attention pattern and an OV circuit computing the effect if attended toclaim0.774
  Key decomposition enabling separate analysis of where attention goes and what it does