Progress in machine learning is bottlenecked by having good evals, interpretability is no exception. We've made WorkspaceBench: a range of scenarios where we know what the model should be thinking about, to see if your interp tool can find it J-Lens is great but only outputs a single token. I think a good multi-token J-Lens should do well on WorkspaceBench!