Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 2006 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Activating Token Index: 347

Text #1

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Text #2

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Max Activating Token Index: 493

Text #3

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Max Activating Token Index: 760

Text #4

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Max Activating Token Index: 870

Text #5

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Text #6

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Text #12

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Text #13

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Text #14

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Text #15

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Text #17

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Text #19

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Max Activating Token Index: 403