Tensorflow Examples

Implemented semi-supervised learning for digit recognition using Sparse Autoencoder

Implementation of the stacked denoising autoencoder in Tensorflow

Pytorch implementations of various types of autoencoders

Collection of autoencoder models in Tensorflow

[JAMIA] Official repository of Deep Propensity Network - Sparse Autoencoder(DPN-SA)

Sparse Autoencoders (SAE) vs CLIP fine-tuning fun.

Providing the answer to "How to do patching on all available SAEs on GPT-2?". It is an official repository of the implementation of the paper "Evaluating Open-Source Sparse Autoencoders on Disentangling Factual Knowledge in GPT-2 Small"

Multi-Layer Sparse Autoencoders (ICLR 2025)

Interpret and control dense embedding via sparse autoencoder.

A complete end-to-end pipeline for LLM interpretability with sparse autoencoders (SAEs) using Llama 3.2, written in pure PyTorch and fully reproducible.

Repository for "From What to How: Attributing CLIP's Latent Components Reveals Unexpected Semantic Reliance"

Official Code for Paper: Beyond Matryoshka: Revisiting Sparse Coding for Adaptive Representation

Implementations and Experiments: Transformers, RoPE, KV cache, SAEs, Tokenisers

Official Triton kernels for TopK and HierarchicalTopK Sparse Autoencoder decoders.

Official code for NeurIPS 2025 paper "Revising and Falsifying Sparse Autoencoder Feature Explanations".

[NeurIPS 2025] This is the official repository for VL-SAE: Interpreting and Enhancing Vision-Language Alignment with a Unified Concept Set

Sparse Embedding Compression for Scalable Retrieval in Recommender Systems

SANSA - sparse EASE for millions of items

Pivotal Token Search