Sparse autoencoders (SAE) use the concept of autoencoder with a slight modification. During the encoding phase, the SAE is forced to only activate a small number of the neurons in the intermediate ...

After the data preprocessing is completed, the next step is to input the processed data into the stacked sparse autoencoder model. The stacked sparse autoencoder is a powerful deep learning ...

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 ...