Tensorflow Examples
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Updated
May 11, 2017 - Python
Tensorflow Examples
Implemented semi-supervised learning for digit recognition using Sparse Autoencoder
Implementation of the stacked denoising autoencoder in Tensorflow
Pytorch implementations of various types of autoencoders
Collection of autoencoder models in Tensorflow
Repository of Deep Propensity Network - Sparse Autoencoder(DPN-SA) to calculate propensity score using sparse autoencoder
Multi-Layer Sparse Autoencoders
Evaluate interpretability methods on localizing and disentangling concepts in LLMs.
exploration WYSIWYG editor
Interpret and control dense embedding via sparse autoencoder.
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"
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