Research· 🧪 Worth Testing
Activation Patching Fails to Guarantee Correct Tool Logic in LLMs
Recent research on Qwen3.5-27B demonstrates that while activation interventions can force a model to produce a specific target output, they often fail to instill correct underlying reasoning. Researchers found that gains in target selection collapse when facts are recombined, suggesting that forced outputs do not reliably represent valid tool-use condition logic.