Your LLM, Your Style: Behavioral Mode Axes for LLM Behavioral Control
- Published
- Source
- arXiv
- Paper number
- 883
- Field
- Machine Learning
- arXiv ID
- 2608.10703
Key points
- It builds 3,200 behavioral scenarios, 20 patterns times 4 situations, to overcome the limits of survey-based personality measurement.
- It finds that an LLM's behavioral style is stable across models but still changes meaningfully with situation, such as first person, advice, or task mode.
- It extracts behavioral mode axes from the activation space and demonstrates across seven models that adjusting only one direction can precisely control behavioral style.
- BMA extracted from the thought process provides much more accurate control than BMA extracted from responses, revealing a trait drift phenomenon.
- It shows that the behavioral control layer is concentrated in a specific region of the model rather than spread uniformly across the whole network.
Paper links
External research summaries. These are not HDATF publications or measured product results.