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A library for making RepE control vectors
machine-learning transformers language-model sparse-autoencoders sae sparse-autoencoder saes representation-engineering
A complete end-to-end pipeline for LLM interpretability with sparse autoencoders (SAEs) using Llama 3.2, written in pure PyTorch and fully reproducible.
pytorch feature-extraction open-research sparse-autoencoder llama3 llm-interpretability feature-steering
This repository collects all relevant resources about interpretability in LLMs
dictionary-learning sparse-autoencoder interpretability-and-explainability mechanistic-interpretability
Implementation of the stacked denoising autoencoder in Tensorflow
Pivotal Token Search
tokens dataset-generation sae sparse-autoencoder dpo llm reasoning-agent llm-inference direct-preference-optimization llm-steering steering-vector phi-4 reasoning-language-models phi4 reasoning-models mech-interp phi4-mini phi-4-mini pivotal-token-search pivotal-tokens
Official Code for Paper: Beyond Matryoshka: Revisiting Sparse Coding for Adaptive Representation
retrieval efficient-algorithm sparse-autoencoder sparse-representations matryoshka-representation-learning
Pytorch implementations of various types of autoencoders
Evaluate interpretability methods on localizing and disentangling concepts in LLMs.
intervention interpretability sparse-autoencoder probing disentangled-representations causal-intervention
SANSA - sparse EASE for millions of items
Sparse Embedding Compression for Scalable Retrieval in Recommender Systems
Explore visualization tools for understanding Transformer-based large language models (LLMs)
visualization awesome interactive transformer attention-mechanism bert gemma interactive-visualizations sae sparse-autoencoder explainable-ai large-language-models llm mechanistic-interpretability
Multi-Layer Sparse Autoencoders (ICLR 2025)
Tensorflow Examples
machine-learning deep-learning tensorflow linear-regression cnn mnist ae rnn autoencoder logistic-regression rbm mlp nearest-neighbors multilayer-perceptron-network tf grbm brnn drnn sparseae sparse-autoencoder
Official Triton kernels for TopK and HierarchicalTopK Sparse Autoencoder decoders.
Sparse Auto Encoder and regular MNIST classification with mini batch's
Experiments with Adversarial Autoencoders using Keras
Real-time 3D visualisation of SAE feature activations inside GPT-2, token by token
python threejs machine-learning deep-learning websocket 3d-visualization sparse-autoencoder fastapi gpt2 mechanistic-interpretability transformerlens llm-interpretability
Sparse Autoencoders (SAE) vs CLIP fine-tuning fun.
vit fine-tune clip sae adversarial-learning sparse-autoencoder finetune fine-tuning adversarial-attacks vision-transformer
A tiny easily hackable implementation of a feature dashboard.
[NeurIPS 2025] This is the official repository for VL-SAE: Interpreting and Enhancing Vision-Language Alignment with a Unified Concept Set
sparsity autoencoder interpretability sparse-autoencoder interpretable-machine-learning vision-language-model
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