Sparse Autoencoders (SAEs) are models that are inserted into a trained LLM for the purpose of projecting the activations into a very large but very sparsely activated latent space. By doing so they ...

PyCM is a multi-class confusion matrix library written in Python that supports both input data vectors and direct matrix, and a proper tool for post-classification model evaluation that supports most ...