Open the Synthetic Mind: Sparse Autoencoders for LLM Inspection | by Salvatore Raieli | Nov, 2024
|LLM|INTERPRETABILITY|SPARSE AUTOENCODERS|XAI|
A deep dive into LLM visualization and interpretation utilizing sparse autoencoders
13 min learn
17 hours in the past
All issues are topic to interpretation whichever interpretation prevails at a given time is a perform of energy and never fact. — Friedrich Nietzsche
As AI programs develop in scale, it’s more and more troublesome and urgent to know their mechanisms. At the moment, there are discussions in regards to the reasoning capabilities of fashions, potential biases, hallucinations, and different dangers and limitations of Large Language Models (LLMs).
