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.

including a 16 million feature autoencoder on GPT-4,” OpenAI wrote. So far, they can’t interpret all of GPT-4’s behaviors: “Currently, passing GPT-4’s activations through the sparse ...

A sparse autoencoder is, essentially ... Once many such patterns, known as features, have been identified, the researchers can determine which words trigger which features. The Anthropic team ...

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 ...