TL;DR Key Takeaways : Gemma Scope enhances the interpretability of AI language models by using sparse autoencoder technology to reveal their inner workings. It acts as a microscope for AI ...

MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, they Announced the deep optimization of stacked sparse autoencoders through the DeepSeek open ...

Features are produced by sparse autoencoders, which are a type of neural network architecture. During the AI training process, sparse autoencoders are guided by, among other things, scaling laws.

Lee Sharkey pioneered the use of sparse autoencoders in language models. Nick Cammarata started the interpretability team at OpenAI alongside Chris Olah, who later cofounded Anthropic.