Implementation of the stacked denoising autoencoder in Tensorflow
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Updated
Aug 21, 2018 - Python
Implementation of the stacked denoising autoencoder in Tensorflow
Pytorch implementations of various types of autoencoders
Evaluate interpretability methods on localizing and disentangling concepts in LLMs.
Tensorflow Examples
Repository of Deep Propensity Network - Sparse Autoencoder(DPN-SA) to calculate propensity score using sparse autoencoder
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"
Collection of autoencoder models in Tensorflow
Implemented semi-supervised learning for digit recognition using Sparse Autoencoder
exploration WYSIWYG editor
Interpret and control dense embedding via sparse autoencoder.
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