Analysing the Safety Pitfalls of Steering Vectors
Analysing the Safety Pitfalls of Steering Vectors explores This research uncovers how steering LLM behavior can inadvertently increase vulnerability to jailbreak attacks, highlighting a critical trade-off between controllability and safety.. Commercial viability score: 5/10 in LLM Safety.
BUILDER'S SANDBOX
Build This Paper
Use an AI coding agent to implement this research.
OpenAI CodexAI Agent
Lightweight coding agent in your terminal.
Claude CodeAI Agent
Agentic coding tool for terminal workflows.
AntiGravity IDEScaffolding
AI agent mindset installer and workflow scaffolder.
CursorIDE
AI-first code editor built on VS Code.
VS CodeIDE
Free, open-source editor by Microsoft.
Recommended Stack
Startup Essentials
Estimated $10K - $14K over 6-10 weeks.
See exactly what it costs to build this -- with 3 comparable funded startups.
7-day free trial. Cancel anytime.
Discover the researchers behind this paper and find similar experts.
7-day free trial. Cancel anytime.
Related Papers
- Builds On ThisUnderstanding Unreliability of Steering Vectors in Language Models: Geometric Predictors and the Limits of Linear ApproximationsViability: 4.0
- Builds On ThisSteering Code LLMs with Activation Directions for Language and Library ControlViability: 4.0
- Builds On ThisCurveball Steering: The Right Direction To Steer Isn't Always LinearViability: 2.0
- Builds On ThisBehavioral Steering in a 35B MoE Language Model via SAE-Decoded Probe Vectors: One Agency Axis, Not Five TraitsViability: 2.0
- Prior WorkBarrierSteer: LLM Safety via Learning Barrier Steering