Mechanistic Interpretability: Unraveling the Mysteries of Neural Networks
Neil Kubler discusses mechanistic interpretability of neural networks, including superposition, induction heads, and the implications for AI alignment and safety.
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Neil Kubler discusses mechanistic interpretability of neural networks, including superposition, induction heads, and the implications for AI alignment and safety.
Garcon is an innovative tool developed by Anthropic that enables researchers to easily analyze and interpret large AI models. It provides a flexible interface for probing model internals and running experiments at scale.
Garcon is an innovative tool developed by Anthropic that enables researchers to perform interpretability work on large AI models. It provides a flexible interface for inspecting and manipulating model internals.
An in-depth exploration of the mathematical framework for understanding transformer circuits, focusing on mechanistic interpretability and the functional form of attention-only transformers.
Explore the evolution of machine learning optimization techniques, from basic gradient descent to advanced algorithms like AdamW. Learn how these methods improve model performance and generalization.
Explore the evolution of machine learning optimization techniques, from basic gradient descent to advanced algorithms like AdamW. Learn how these methods improve model performance and generalization.
Explore the revolutionary mechanism of transformers that fuel AI advancements, making applications like ChatGPT possible.