Soham Gadgil

Ensembling Sparse Autoencoders Enhances Neural Network Interpretability

Researchers have introduced and formalized the concept of ensembling sparse autoencoders (SAEs) to improve the interpretability and utility of neural network features. This approach addresses the limitation that single …