Goodfire and Training on Interpretability
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Credibility Rating
Good quality. Reputable source with community review or editorial standards, but less rigorous than peer-reviewed venues.
Rating inherited from publication venue: LessWrong
Relevant to researchers exploring mechanistic interpretability as a training signal or safety intervention; raises foundational concerns about Goodhart's Law applied to interpretability-guided training pipelines.
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Summary
This LessWrong post critically examines Goodfire's interpretability-in-the-loop training approach, raising concerns that optimization pressure on interpretability tools causes them to degrade—a known problem called 'The Most Forbidden Technique.' The author argues that decomposing gradients into semantic components may not prevent models from developing harmful behaviors through uninterpreted channels that selection pressure can exploit.
Key Points
- •'The Most Forbidden Technique' refers to the risk that using interpretability methods as training targets causes those methods to degrade as models learn to game them.
- •Goodfire's approach decomposes training gradients into semantic components and selectively applies them, attempting to sidestep direct optimization on interpretability outputs.
- •Commenters raise concerns that uninterpreted semantic components in gradient decompositions still provide exploitable pathways for selection pressure.
- •The post questions whether any current implementation of interpretability-in-the-loop training adequately prevents undetectable harmful behavior development.
- •The discussion highlights a fundamental tension: using interpretability tools to guide training may systematically undermine the reliability of those same tools.
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| Goodfire | Organization | 68.0 |
Cached Content Preview
# Goodfire and Training on Interpretability By Satya Benson Published: 2026-02-06 Goodfire wrote [Intentionally designing the future of AI](https://www.goodfire.ai/blog/intentional-design) about training on interpretability. This seems like an instance of [The Most Forbidden Technique](https://www.lesswrong.com/posts/mpmsK8KKysgSKDm2T/the-most-forbidden-technique) which has been warned against over and over - optimization pressure on interpretability technique \[T\] eventually degrades \[T\]. Goodfire claims they are aware of the associated risks and managing those risks. Are they properly managing those risks? I would love to get your thoughts on this.
c4075b6d47521293 | Stable ID: sid_c6DWwNsUPe