We mention this issue exactly in the fourth paragraph in Section 4 and in Appendix F!

We mention this issue exactly in the fourth paragraph in Section 4 and in Appendix F!

That is addressing the incomprehensibility of PCA and applying a transformation to the entire latent space. I've never found PCA to be meaningful for deep learning. As far as I can tell, polysemous issue with neurons cannot be addressed with a single linear transformation. There is no sparse analysis (via linear probes or SAEs) and hence the unaddressed issue.

Tweet: https://x.com/kenneth0stanley/status/1924650124829196370 Arxiv: https://arxiv.org/abs/2505.11581

Sounds like you're one of the co-authors? Probably worth mentioning if the case so people know they can discuss the work with one of the work-doers.

I mentioned that in the original post, but I don't see that text here anymore (thats why I added links via comment)... I am new to hackernews

I believe they just mean that you should edit the comment where you added the links to mention that you are the author, to add that additional context.

I just meant 'it's good for people to know one of the authors is in the thread because it makes for more interesting conversation'. Clearly did not figure out how to do that without starting a bunch of meta!

I believe this could (or should) have been a Show HN, which would have allowed you to include explanatory text. See the top of this page for the rules.

https://news.ycombinator.com/show

Welcome to the site. There are a lot of features which are less obvious, which you’ll discover over time.

Reading material usually can't be a Show HN but you can just post your work without that and say you're involved.

The repo includes runnable code.

> Show HN is for something you've made that other people can play with… On topic: things people can run on their computers or hold in their hands

A lot of writing includes runnable code and isn't a Show HN. It's a comparatively narrow category.

I am interested in doing research like this. Is there any way I can be a part of it or a similar group? I have been fighting for funding from DoD for many years but to no avail so I largely have to do this research on my own time or solve my current grant's problems so that i can work on this. In my mind, this kind of research is the most interesting and important right now in the deep learning field. I am a hard worker and a high-throughput thinking... how can i get connected to otherwise with a similar mindset?