Thanks for engaging with our work Arthur! Perhaps I should have signposted this more clearly in the Github as well as the report, but the categories assigned by GPT-4o were not final, we reviewed its categories and made changes where necessary. The final categories we gave are available here. The discovering agents paper we put as ‘safety by design’ and the prover-verifier games paper we labelled ‘enhancing human feedback’. (Though for some papers of course the best categorization may not be clear, if e.g. it touches on multiple safety research areas.)
If you have the links handy I would be interested in which GDM mech interp papers we missed, and I can look into where our methodologies went wrong.
You use a very wide scope for the “enhancing human feedback” (basically any post-training paper mentioning ‘align’-ing anything). So I will use a wide scope for what counts as mech interp and also include:
There are a few other papers from the PAIR group as well as Mor Geva and also Been Kim, but mostly with Google Research affiliations so it seems fine to not include these as IIRC you weren’t counting pre-GDM merger Google Research/Brain work
Thanks for that list of papers/posts. For most of the papers you linked, they’re not included because they did not feature in either of our search strategies: (1) titles containing specific keywords that we searched for on arXiv; (2) the paper is linked on the company’s website. I agree this is a limitation of our methodology. We won’t add these papers in now as that would be somewhat ad hoc, and inconsistent between the companies.
Re the blog posts from Anthropic and what counts as a paper, I agree this is a tricky demarcation problem. We included the ‘Circuit Updates’ because it was linked to as a ‘paper’ on the Anthropic website. Even if GDM has a higher bar for what counts as a ‘paper’ than Anthropic, I think we don’t really want to be adjudicating this, so I feel comfortable just deferring to each company about what counts as a paper for them.
I would have found it helpful in your report for there to be a ROSES-type diagram or other flowchart showing the steps in your paper collation. This would bring it closer in line with other scoping reviews and would have made it easier to understand your methodology.
I assume all the data is fairly noisy, since scanning for the domain I know in https://raw.githubusercontent.com/Oscar-Delaney/safe_AI_papers/refs/heads/main/Automated%20categorization/final_output.csv, it misses ~half of the GDM Mech Interp output from the specified window and also mislabels https://arxiv.org/abs/2208.08345 and https://arxiv.org/abs/2407.13692 as Mech Interp (though two labels are applied to these papers and I didn’t dig to see which was used)
Thanks for engaging with our work Arthur! Perhaps I should have signposted this more clearly in the Github as well as the report, but the categories assigned by GPT-4o were not final, we reviewed its categories and made changes where necessary. The final categories we gave are available here. The discovering agents paper we put as ‘safety by design’ and the prover-verifier games paper we labelled ‘enhancing human feedback’. (Though for some papers of course the best categorization may not be clear, if e.g. it touches on multiple safety research areas.)
If you have the links handy I would be interested in which GDM mech interp papers we missed, and I can look into where our methodologies went wrong.
Here are the other GDM mech interp papers missed:
https://arxiv.org/abs/2307.15771
https://arxiv.org/abs/2404.16014
https://arxiv.org/abs/2407.14435
We have some blog posts of comparable standard to the Anthropic circuit updates listed:
https://www.alignmentforum.org/posts/C5KAZQib3bzzpeyrg/full-post-progress-update-1-from-the-gdm-mech-interp-team
https://www.alignmentforum.org/posts/iGuwZTHWb6DFY3sKB/fact-finding-attempting-to-reverse-engineer-factual-recall
You use a very wide scope for the “enhancing human feedback” (basically any post-training paper mentioning ‘align’-ing anything). So I will use a wide scope for what counts as mech interp and also include:
https://arxiv.org/abs/2401.06102
https://arxiv.org/abs/2304.14767
There are a few other papers from the PAIR group as well as Mor Geva and also Been Kim, but mostly with Google Research affiliations so it seems fine to not include these as IIRC you weren’t counting pre-GDM merger Google Research/Brain work
Thanks for that list of papers/posts. For most of the papers you linked, they’re not included because they did not feature in either of our search strategies: (1) titles containing specific keywords that we searched for on arXiv; (2) the paper is linked on the company’s website. I agree this is a limitation of our methodology. We won’t add these papers in now as that would be somewhat ad hoc, and inconsistent between the companies.
Re the blog posts from Anthropic and what counts as a paper, I agree this is a tricky demarcation problem. We included the ‘Circuit Updates’ because it was linked to as a ‘paper’ on the Anthropic website. Even if GDM has a higher bar for what counts as a ‘paper’ than Anthropic, I think we don’t really want to be adjudicating this, so I feel comfortable just deferring to each company about what counts as a paper for them.
I would have found it helpful in your report for there to be a ROSES-type diagram or other flowchart showing the steps in your paper collation. This would bring it closer in line with other scoping reviews and would have made it easier to understand your methodology.
@Zoe Williams