This research reveals how personality traits are embedded within language models and can be deliberately steered through latent feature manipulation.

• Identifies the underlying mechanisms that allow LLMs to exhibit consistent personalities
• Examines how cultural norms and environmental factors influence personality expression in AI
• Demonstrates techniques to steer personality traits of language models
• Explores implications for creating safer AI systems with controlled personality expressions

From a security perspective, understanding personality encoding provides crucial insights for designing AI guardrails, preventing harmful outputs, and building more trustworthy systems suited to specific contexts and user needs.

Exploring the Personality Traits of LLMs through Latent Features Steering