cyberneticlibrary

Train sparse autoencoders to find features

sparse-autoencoder-trainingskillsetup L39,423
Orchestra-Research/AI-Research-SKILLs
What it does

Provides guidance for

Best for

guidance for training and analyzing Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into interpretable f...

Inputs
  • · Sparse Autoencoder Training requirement
  • · Implementation context
Outputs
  • · Implementation guide
  • · Best practices
  • · Reference examples
Requires
  • · Build system
  • · Testing framework
  • · Package manager
Preconditions
  • · Understanding of Sparse
  • · Appropriate development environment
Failure modes
  • · Missing dependencies or incompatible versions
  • · Configuration or environment issues
  • · Incorrect implementation or testing gaps
Trust signals
  • · Code examples provided
  • · Published with source
  • · Open source licensed