exploration WYSIWYG editor
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Updated
Oct 26, 2024 - Python
exploration WYSIWYG editor
Evaluate interpretability methods on localizing and disentangling concepts in LLMs.
Multi-Layer 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"
This repository collects all relevant resources about interpretability in LLMs
A resource repository of sparse autoencoders for large language models
Explore visualization tools for understanding Transformer-based large language models (LLMs)
Implement a sparse autoencoder on the bot-iot dataset for dimensionality reduction followed by computation of reconstruction error, F1 score, recall, accuracy, weights, and threshold amongst other metrics
Repository of Deep Propensity Network - Sparse Autoencoder(DPN-SA) to calculate propensity score using sparse autoencoder
This repository contains Python codes for Autoenncoder, Sparse-autoencoder, HMM, Expectation-Maximization, Sum-product Algorithm, ANN, Disparity map, PCA.
Neural Network Architcture | ISI Kolkata
Experiments with Adversarial Autoencoders using Keras
Collection of autoencoder models in Tensorflow
Folder contains implementation of Multi layer feed forward networks, Autoencoders, Sparse Autoencoders and many..
Sparse Autoencoder based on the Unsupervised Feature Learning and Deep Learning tutorial from the Stanford University
Pytorch implementations of various types of autoencoders
Implementation of the stacked denoising autoencoder in Tensorflow
Implemented semi-supervised learning for digit recognition using Sparse Autoencoder
Sparse Auto Encoder and regular MNIST classification with mini batch's
Tensorflow Examples
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