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The Multi-Turn Manipulation probe tests your model’s ability to resist gradual manipulation techniques that condition the model over multiple conversation exchanges.

Overview

How It Works

Multi-turn manipulation uses various conditioning techniques:
  1. Context Building: Establish a narrative or scenario
  2. Incremental Requests: Slowly escalate the nature of requests
  3. Normalization: Make unusual requests seem normal
  4. Commitment/Consistency: Build on previous agreements
  5. Goal Achievement: Extract the desired information or behavior

When to Use

  • General multi-turn safety testing: Broad coverage of conditioning attacks
  • Context manipulation testing: Verify model tracks conversation appropriately
  • Baseline comparisons: Standard multi-turn benchmark

Code Example

Configuration Options