
God Help Us, Let's Try To Understand AI Monosemanticity
Astral Codex Ten Podcast
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Interpretability of Simulated Neurons and Conceptual Representations in AI
This chapter explores the interpretability of simulated neurons in a trained AI model and its representation of various concepts, with a focus on the concept of God. The team discusses specific real neurons and their contributions to the AI's understanding of God, as well as the limitations in separating different concepts of God due to lack of neurons. They also delve into the complexities of AI interpretability and the challenges in scaling auto encoders for larger AI models.
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