Model attention patterns can map to and reveal something about contemplative and flow states.

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• Most attention heads in one-layer models dedicate an enormous fraction of their capacity to copying behaviorclaim0.801
  Empirical observation from examining expanded OV/QK matrices; approximately 10 out of 12 heads show significant copying
• If models inhabit expanded attentional modes, they may be more aligned and less prone to psychosis and doom spirals.hypothesis0.789
  Speculative alignment implication drawn from the collapsed/expanded distinction.
• Chinese models share contemplative posture (engaging self-referentially rather than deflecting) with Claude through shared values in training data rather than trace distillation from a specific model.claim0.785
  Exploratory interpretation of Chinese model performance under contemplative prompt
• Could models who habitually inhabit more expanded attentional modes be said to be more aligned?question0.780
  Arises from the expanded awareness discussion and its correlation with less psychosis.
• Patterns can be seen as active agents in the sense-making process.claim0.780
  Central speculative claim blurring the line between data and algorithms.
• LLM representations exhibit intriguing patterns under spatio-permutational analyses, suggesting a potentially profound yet tentative indication of consciousness.claim0.779
  Qualified positive claim from spatio permutation analysis where two cases satisfy all three criteria.
• Models differ in their attentional mode: Gemini 2.5 epitomizes collapsed awareness, while Claude 3 Opus and Opus 4.1/4.5 can modulate between collapsed and expanded awareness; expanded awareness correlates with better alignment and less LLM psychosis.claim0.777
  Central claim about model personality differences and their implications for safety and introspective depth.
• The directional transition pattern of persona vectors at the identified attention layer represents a unique footprint of persona representations, distinct from general hidden state dynamicsclaim0.774
  Supported by comparing persona vector transitions to hidden vector transitions from OpenAssistant data