Any leads on research that examines what disjoint exists between human-recoverable and SAE recoverable features out there? (Perhaps after: arxiv.org/html/2506.15..., which features are "naturally" distinguishable by humans but represented densely by SAEs, which end up in "noisy" dense reps.)

Anyone have on instruction tuning for models trained solely on historical data? Turns out texts from 1750 have very few "reddit-like" constructs.

I teach a machine learning class for students in traditionally less computational fields (cdh.jhu.edu/teaching/4/). Recent students had questions about RAG, so I used EmbeddingGemma's release as an excuse to put together an example in the form of a poetry criticism game

github.com/messner1/poe...