A library for making RepE control vectors
-
Updated
Sep 24, 2025 - Jupyter Notebook
A library for making RepE control vectors
An Alibaba Cloud native microservice demo powered by Apache Dubbo and Spring Cloud Alibaba
Pivotal Token Search
A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.
Python Implementation of Zero Shot Learning Algorithms (ALE, DeViSE, ESZSL, SAE, SJE) under ZSLGBU protocol
Implementation of the BatchTopK activation function for training sparse autoencoders (SAEs)
Sparse Embedding Compression for Scalable Retrieval in Recommender Systems
Multi-Layer Sparse Autoencoders (ICLR 2025)
Implementation of PatchSAE as presented in "Sparse autoencoders reveal selective remapping of visual concepts during adaptation"
Official Triton kernels for TopK and HierarchicalTopK Sparse Autoencoder decoders.
Explore visualization tools for understanding Transformer-based large language models (LLMs)
Interpreting CLIP with Hierarchical Sparse Autoencoders (ICML 2025)
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"
A flexible computer-vision pipeline that connects to video source, detects, tracks and geo-maps objects.
Add a description, image, and links to the sae topic page so that developers can more easily learn about it.
To associate your repository with the sae topic, visit your repo's landing page and select "manage topics."