Sharp persona vector transitions occur at different layers than general hidden vector transitions, demonstrating persona-specific rather than generic computational boundaries

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• The directional transition pattern of persona vectors at the identified attention layer represents a unique footprint of persona representations, distinct from general hidden state dynamicsclaim0.869
  Supported by comparing persona vector transitions to hidden vector transitions from OpenAssistant data
• Gemma-3-12b-it shows multiple sharp direction shifts in persona vectors across layers, differing from the single-transition pattern in Qwen and Llamafinding0.849
  Suggests architectural variations influence persona localization pattern
• Differences in persona vector geometry across checkpoints correspond to meaningfully different versions of the personaclaim0.824
  Connects geometric refinement findings to semantic/facet changes in persona expression
• Persona vector steering is sharply layer-specific, peaking in a narrow band of central layers and having essentially no effect in late layersfinding0.818
  Evidence consistent with persona vectors acting as early switches determining inferential paths
• Persona Vector Transition Layerconcept0.813
  Specific attention layer where persona representations undergo sharp directional shift and stabilize, identified via cosine similarity heatmaps
• Persona vector directions in Llama-3.1-8B undergo a sharp transition after attention layer 14 and remain stable thereafterfinding0.804
  Layer-wise localization result identifying the persona-emergent attention layer in Llama-3.1-8B
• Persona vectors do not emerge as a single capability; each persona has its own onset and ceiling ordered by prevalence and behavioral simplicity in pretraining dataclaim0.801
  Interpretive finding against a unified emergence threshold for all personas
• Persona vectors capture signal specific to their assigned trait, as evidenced by within-trait correlations exceeding cross-trait baselinesclaim0.800
  Author's interpretation establishing that persona vectors are not merely general misalignment indicators