benchmarks evals
The Explanation Had to Predict a Changed Prompt
CHIVE tests behavioral explanations with counterfactual edits and found no uplift from the interpretability techniques it studied.
Summary
CHIVE tests behavioral explanations with counterfactual edits and found no uplift from the interpretability techniques it studied.
The agentic pipeline locates unexpected model behaviors, edits prompts and asks whether an explanation predicts the counterfactual outcome. Common interpretability techniques did not improve that prediction task, while training on CHIVE experiments generalized to reported out-of-distribution settings. The negative result applies to the evaluated methods and models.
Why it matters
CHIVE tests behavioral explanations with counterfactual edits and found no uplift from the interpretability techniques it studied.
Limits and context
- Common interpretability techniques did not improve that prediction task, while training on CHIVE experiments generalized to reported out-of-distribution settings.
Key claims
CHIVE tests behavioral explanations with counterfactual edits and found no uplift from the interpretability techniques it studied.
Qualification: Common interpretability techniques did not improve that prediction task, while training on CHIVE experiments generalized to reported out-of-distribution settings.
Evidence: source-2026-08-18-021
Sources
- arXiv preprint 2608.16747arXiv · primary research
Corrections
No corrections have been recorded for this story.