The sloppiness of the circuits thread blog posts has been very damaging to the health of the field, in my opinion. People first learn about mech interp from these blog posts, and then they adopt a similarly sloppy style in discussion.
Frankly, the whole field currently is just a big circle jerk, and it's hard not to think these blog posts are responsible for that.
I mean do you actually think this kind of slop would be publishable in NeurIPS if they submitted the blog post as it is?
In theory, yes. Lets not pretend actual peer review would do this.
Sometimes we get good reviewers, who ask questions and make comments which improve the quality of a paper, but I don't really expect it in the conference track. It's much more common to get good reviewers in smaller journals, in domains where the reviewers are experts and care about the subject matter. OTOH, the turnaround for publication in these journals can take a long time.
Meanwhile, some of the best and most important observations in machine learning never went through the conference circuit, simply because the scientific paper often isn't the best venue for broad observation... The OG paper on linear probes comes to mind. https://arxiv.org/pdf/1610.01644
The linear probe paper is still written in a format where it could reasonably be submitted, and indeed it was submitted to an ICLR workshop.
If somebody's paper does not get assigned as mandatory reading for random reviewers, but people read it anyway and cite it in their own work, they're doing a form of post-publication peer review. What additional information do you think pre-publication peer review would give you?