finding
active
finding:gemma-3-12b-it-shows-multiple-sharp-direction-shifts-in-persona-vectors-across-layers-differing-from-the-single-transition-pattern-in-qwen-and-llamaGemma-3-12b-it shows multiple sharp direction shifts in persona vectors across layers, differing from the single-transition pattern in Qwen and Llama
Suggests architectural variations influence persona localization pattern
Source paper
extracted_from(2026) · Yoshihiro Izawa · Gouki Minegishi · Koshi Eguchi · Sosuke Hosokawa +1
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Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Layer-wise localization result identifying the persona-emergent attention layer in Llama-3.1-8B
- Supported by comparing persona vector transitions to hidden vector transitions from OpenAssistant data
- Rules out the confound that persona transitions merely reflect universal computational phase changes
- Qualitatively different defense profile compared to Llama-3.1-8B
- Gemma-3-4B-it shows three-stage layer trajectory and S(ℓ) peak despite scale differences in dr and ρdfinding0.826E3 backbone generalization finding for Gemma; validates pattern across diverse architectures
- Experiment 4 result showing DIM captures only one facet of the multi-dimensional truth subspace
- Truth-related directions reliably emerge at 60–75% of normalized layer depth in Qwen and Gemma modelsfinding0.807Experiment 1 finding localizing where truth can be causally mediated
- Geometric evidence for convergence to stable truth directions only for simpler tasks.