Sources
AKGemma Scope Open Sparse Autoencoders Everywhere All At Once on Gemma 2 discuss: https://t.co/hLAdvC1FJC Sparse autoencoders (SAEs) are an unsupervised method for learning a sparse decomposition of a neural network's latent representations into seemingly interpretable features.… https://t.co/aXO8Ihm6Tv
Tanishq Mathew Abraham, Ph.D.Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2 abs: https://t.co/ylAbcKYvPb weights and tutorial: https://t.co/ByIX7tn6TJ demo: https://t.co/gsgLNyyQBM Describes an open suite of SAEs for Gemma 2 7B, 9B, 27B, how they were trained, evaluation, open… https://t.co/FrsMpwFl6o
𝚐𝔪𝟾𝚡𝚡𝟾Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2 (links in comment below) https://t.co/2zccN4tBDC






