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Researchers from Anthropic managed to extract millions of interpretable features from their Claude 3 Sonnet model, making it easier to identify and understand specific behaviors and patterns within the model.
This advance in understanding closed source AI models could make them safer by showing how specific features relate to concepts and affect the model’s behavior.
Read the Article: https://www.anthropic.com/research/mapping-mind-language-model?utm_source=substack&utm_medium=email
Read The Paper: https://transformer-circuits.pub/2024/scaling-monosemanticity/index.html
This advance in understanding closed source AI models could make them safer by showing how specific features relate to concepts and affect the model’s behavior.
Read the Article: https://www.anthropic.com/research/mapping-mind-language-model?utm_source=substack&utm_medium=email
Read The Paper: https://transformer-circuits.pub/2024/scaling-monosemanticity/index.html