In particular, the sparse autoencoder that supports GPT-4 was able to find 16 million features of GPT-4. OpenAI has published the features found from GPT-4 and GPT-2 small and the corresponding ...

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 ...

So far, they can’t interpret all of GPT-4’s behaviors: “Currently, passing GPT-4’s activations through the sparse autoencoder results in a performance equivalent to a model trained with ...

A sparse autoencoder is, essentially, a second, smaller neural network that is trained on the activity of an LLM, looking for distinct patterns in activity when “sparse” (ie, very small ...

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

The stacked sparse autoencoder is a powerful deep learning architecture composed of multiple autoencoder layers, with each layer responsible for extracting features at different levels. HOLO utilizes ...