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krackers 1 days ago [-]
>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?
Planktonne 7 hours ago [-]
I think this code be an interesting project, but the generated nature of the site and copy suggests that little thought has been put into it.
ada1981 6 hours ago [-]
Sorry to disapoint!
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.
mune2gu-chan 17 hours ago [-]
I love the focus on the pre-answer thinking phase. It feels way more practical than just trying to steer the output with a generic system prompt.
ada1981 12 hours ago [-]
Yes I am curious if we will start to see tools that expose this surface more directly or built into the models.
great_psy 1 days ago [-]
At least link the one made by anthropic. Can’t say if this is better or worse since I’m on mobile.
ada1981 1 days ago [-]
I actually just saw the paper not the one they made. Just googled and found it.
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.
There’s is likely better!
https://www.neuronpedia.org/qwen3.6-27b/jlens?shareId=cmr2kx...