A library for making RepE control vectors

[UNMAINTAINED] 非监督特征学习与深度学习中文教程，该版本翻译自新版 UFLDL Tutorial 。建议新人们去学习斯坦福的CS231n课程，该门课程在网易云课堂上也有一个配有中文字幕的版本。

For OpenMOSS Mechanistic Interpretability Team's Sparse Autoencoder (SAE) research.

Finding Direction of arrival (DOA) of small UAVs using Sparse Denoising Autoencoders and Deep Neural Networks.

[ICLR 2025] Monet: Mixture of Monosemantic Experts for Transformers

Medical Imaging, Denoising Autoencoder, Sparse Denoising Autoencoder (SDAE) End-to-end and Layer Wise Pretraining

Code for the paper: Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery. ECCV 2024.

Sparse Autoencoders using FashionMNIST dataset

Hyperspectral Band Selection using Self-Representation Learning with Sparse 1D-Operational Autoencoder (SRL-SOA)

Hypothesizing interpretable relationships in text datasets using sparse autoencoders.

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"

A tiny easily hackable implementation of a feature dashboard.

Diagnóstico de falla de rodamiento utilizando descomposición modal empírica y deep learning

Use evolution with sparse autoencoders

Implementation and analysis of Sparse Autoencoders for neural network interpretability research. Features interactive visualization dashboard and W&B integration.

Code for the ETH MSc Thesis: Sparse Autoencoders vs. Activation Difference for Language Model Steering

A framework for conducting interpretability research and for developing an LLM from a synthetic dataset.

CE-Bench: A Contrastive Evaluation Benchmark of LLM Interpretability with Sparse Autoencoders

My AI interpretability research journey

Folder contains implementation of Multi layer feed forward networks, Autoencoders, Sparse Autoencoders and many..