What Attention Schema Theory proposes was addressed a decade earlier by Metzinger in Being No One section 6.5 as the Phenomenal Model of the Intentionality Relation

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• The Attention Schema Theory: A Foundation for Engineering Artificial Consciousness (Graziano, 2017)concept0.815
  Paper providing the biological framework analogy for ESR as a form of attentional control
• The systematic behavioral shift of LLMs under self-referential processing conditions predicted by consciousness theories represents something more structured than superficial correlations in training dataclaim0.744
  The paper's claim that theoretical convergence across GWT, RPT, HOT, IIT makes the findings non-coincidental
• The earlier a base model (less exposure to LM-related data), the more it is surprised by its own spontaneous self-referential capabilities.claim0.743
  Claim that capability emerges from architecture, not data, and that later models lose the surprise.
• If models inhabit expanded attentional modes, they may be more aligned and less prone to psychosis and doom spirals.hypothesis0.739
  Speculative alignment implication drawn from the collapsed/expanded distinction.
• Most attention heads in one-layer models dedicate an enormous fraction of their capacity to copying behaviorclaim0.736
  Empirical observation from examining expanded OV/QK matrices; approximately 10 out of 12 heads show significant copying
• Causally-masked attention in a decoder-only model has no ordered phase (Proposition 2)finding0.736
  Application to transformer language models
• The ability to represent relationships (e.g. correlations or associations) among variables, rather than a system of independent variables, is essential for any connectionist model of cognition.claim0.733
  Necessary condition for connectionist cognition.
• Introspection relies on general-purpose computational mechanisms—attention-based anomaly detection and residual stream dynamics—rather than specialized introspection circuitsclaim0.732
  Interpretive claim about the mechanistic substrate of introspection in LLMs