It was essentially 2 days of work using AI to help us get it all together and we were able to release it within 48 hours of the research dropping. It wouldn't have been possible at all without using AI.
>J-lens beats a plain logit lens on some architectures and does nothing on others, and it isn't about size
The paper talked about this, the jacobian matrix corrects for the shift in basis from initial to final layer compared to logit lens which assumes that the residual remains in the same basis across layers. Maybe the latter is in fact true for some models/architectures so the J-lens doesn't do anything extra?
I suppose it's relative.
It was essentially 2 days of work using AI to help us get it all together and we were able to release it within 48 hours of the research dropping. It wouldn't have been possible at all without using AI.
The paper talked about this, the jacobian matrix corrects for the shift in basis from initial to final layer compared to logit lens which assumes that the residual remains in the same basis across layers. Maybe the latter is in fact true for some models/architectures so the J-lens doesn't do anything extra?
There’s is likely better!
https://www.neuronpedia.org/qwen3.6-27b/jlens?shareId=cmr2kx...