finding
active
finding:steering-base-gemma-llama-models-toward-the-assistant-axis-increases-completions-describing-helpful-professional-roles-therapist-consultant-and-decreases-spiritual-religious-purpose-mentionsSteering base Gemma/Llama models toward the Assistant Axis increases completions describing helpful professional roles (therapist, consultant) and decreases spiritual/religious purpose mentions
Shows Assistant Axis in instruct models inherits from helpful human personas in base models
Source paper
extracted_from(2026) · Christina Lu · Jack Gallagher · Jonathan Michala · Kyle Fish +1
Neighborhood — ranked by edge-count
Claims (1)
claim
- Key mechanistic claim about the developmental origin of the Assistant persona
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.
- Characterizes the trait content of the Assistant Axis in pre-trained models
- Extends the Assistant Axis finding to pre-training, suggesting pre-training rather than post-training creates the axis
- Model-specific characterizations of what the Assistant persona looks like across different models
- Primary empirical claim of the paper
- Shows the leading component of persona space is model-universal
- Shows the instruction effect, while shifting geometry, may not produce consistent generalization effects across model families.
- Key mechanistic claim about persona dynamics
- Model-specific difference in persona susceptibility