Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 615 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Data Index: 842791 (C4 (Web Text))

Max Activating Token Index: 38

Text #1

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Max Activating Token Index: 44

Text #2

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Max Activating Token Index: 845

Text #3

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Max Act: 0.0079. Min Act: -0.0006

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Max Activating Token Index: 470

Text #4

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Max Activating Token Index: 73

Text #5

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Max Activating Token Index: 63

Text #6

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Text #8

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Text #9

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Text #10

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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 #16

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Text #17

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Text #18

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Text #19

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Max Activating Token Index: 116