|LLM|INTERPRETABILITY|SPARSE AUTOENCODERS|XAI|
A deep dive into LLM visualization and interpretation using sparse autoencoders
All things are subject to interpretation whichever interpretation prevails at a given time is a function of power and not truth. — Friedrich Nietzsche
As AI systems grow in scale, it is increasingly difficult and pressing to understand their mechanisms. Today, there are discussions about the reasoning capabilities of models, potential biases, hallucinations, and other risks and limitations of Large Language Models (LLMs).
