|LLM|INTERPRETABILITY|SPARSE AUTOENCODERS|XAI|
A deep dive into LLM visualization and interpretation utilizing sparse autoencoders
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 techniques develop in scale, it’s more and more troublesome and urgent to know their mechanisms. As we speak, there are discussions in regards to the reasoning capabilities of fashions, potential biases, hallucinations, and different dangers and limitations of Massive Language Fashions (LLMs).