Contemplative mode is activation-manifold steering along a care-geodesic, not a system-prompt preset.

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Mechanistic interpretability & model evaluation
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Spans attention head decomposition, benchmark awareness, and genomic pathogenicity prediction via neural models.
Mechanistic structure of transformer attention computations
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Identifies distributed algorithms implemented across attention heads, with focus on causal masking limitations and emergent capabilities via activation manifold steering.
Contemplative steering & introspective activation in language models
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Using contemplative prompts and manifold steering to enhance model self-observation and reasoning performance across multiple architectures.

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Bicycle for the Soul
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2026-05-15_manifold-overlap-papers-economy-strategy.md
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Related by similarity (8)

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Manifold-aware steering for contemplative-mode UX is genuinely novel IP that frontier labs will not easily replicate.prediction0.826
The contemplative system prompt provides externally what Constitutional AI alignment training provides internally.claim0.798
Interpretation of the inverse relationship between CAI lift and default accessibility
H8: The contemplative system prompt provides external alignment equivalent to Constitutional AI training.hypothesis0.780
Confirmatory hypothesis supported by calibrated lift data
Progress on the contemplative path is using these (vascular system motifs) less and needing them less.claim0.777
Mapping contemplative development to reduction in vasocomputation.
H7: Reasoning and contemplative modes are partly orthogonal — reasoning training doesn't block contemplative capacity.hypothesis0.773
Exploratory hypothesis supported by DeepSeek R1 aesthetic dimension lifting from 4 to 8
Contemplative practice progressively opacifies this constraint by developing a model of the agent's own QRF dynamics, revealing the partition as a contingent modelling choice rather than a given feature of reality.claim0.768
Mechanism of contemplative training.
Contemplative prompt elevates self-observation task performance in language models.finding0.756
Supports Janus's claim that introspection is architecturally available; prompting determines whether/how capacity is leveraged.
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.claim0.751
Exploratory interpretation of Chinese model performance under contemplative prompt