๐ฅ Today's pick in Interpretability & Analysis of LMs: ๐ฉบ Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models by @asmadotgh, @codevan, @1wheel, @iislucas & @mega
Patchscopes is a generalized framework for verbalizing information contained in LM representations. This is achieved via a mid-forward patching operation inserting the information into an ad-hoc prompt aimed at eliciting model knowledge. Patchscope instances for vocabulary projection, feature extraction and entity resolution in model representation are show to outperform popular interpretability approaches, often resulting in more robust and expressive information.
๐๐ฝ Released under the ๐๐ฉ๐๐๐ก๐ ๐.๐ ๐ฅ๐ข๐๐๐ง๐ฌ๐
๐ฅ ๐๐ฎ๐ง๐๐ก๐๐ฌ ๐๐๐จ๐ฏ๐ ๐ข๐ญ๐ฌ ๐ฐ๐๐ข๐ ๐ก๐ญ ๐๐ฅ๐๐ฌ๐ฌ ๐จ๐ง ๐๐ฎ๐ฆ๐๐ง๐๐ฏ๐๐ฅ: Beats out CodeGen 2.5 7B and StarCoder 7B on most supported languages. Has a 3-point lead over StarCoderBase 15.5B for Python
๐๐ฝ Produces quality images on par with Stable Diffusion v1.5, but ๐.๐ ๐ญ๐ข๐ฆ๐๐ฌ ๐๐๐ฌ๐ญ๐๐ซ ๐ข๐ง ๐๐% ๐๐๐ฐ๐๐ซ ๐ข๐ญ๐๐ซ๐๐ญ๐ข๐จ๐ง๐ฌ