PS: I know it is interesting and I don't doubt Antrophic, but for me it is so fascinating they get such a pass in science.
PS: I know it is interesting and I don't doubt Antrophic, but for me it is so fascinating they get such a pass in science.
There's a ton of peer reviewed papers on SAEs in the past 2 years; some of them are presented at conferences.
For example: "Sparse Autoencoders Find Highly Interpretable Features in Language Models" https://proceedings.iclr.cc/paper_files/paper/2024/file/1fa1...
"Scaling and evaluating sparse autoencoders" https://iclr.cc/virtual/2025/poster/28040
"Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning" https://proceedings.neurips.cc/paper_files/paper/2024/hash/c...
"Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2" https://aclanthology.org/2024.blackboxnlp-1.19.pdf
The lifeblood of the field is proof-of-concept pre-prints built on top of other proof-of-concept pre-prints.
We're in the "mad science" regime because the current speed of progress means adding rigor would sacrifice velocity. Preprints are the lifeblood of the field because preprints can be put out there earlier and start contributing earlier.
Anthropic, much as you hate them, has some of the best mechanistic interpretability researchers and AI wranglers across the entire industry. When they find things, they find things. Your "not scientifically rigorous" is just a flimsy excuse to dismiss the findings that make you deeply uncomfortable.