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

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

Neuron 733 in Layer 0

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

Text #0

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Max Act: 0.0074. Min Act: -0.0006

Data Index: 471344 (C4 (Web Text))

Max Activating Token Index: 348

Text #1

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Data Index: 398326 (C4 (Web Text))

Max Activating Token Index: 918

Text #2

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Data Index: 313919 (C4 (Web Text))

Max Activating Token Index: 849

Text #3

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Max Act: 0.0075. Min Act: -0.0006

Data Index: 1074743 (C4 (Web Text))

Max Activating Token Index: 459

Text #4

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Data Index: 1000831 (C4 (Web Text))

Max Activating Token Index: 763

Text #5

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Data Index: 13559 (C4 (Web Text))

Max Activating Token Index: 1009

Text #6

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Text #7

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Text #8

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Text #9

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Data Index: 608953 (C4 (Web Text))

Max Activating Token Index: 626

Text #10

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Data Index: 131963 (C4 (Web Text))

Max Activating Token Index: 407

Text #11

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Text #12

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Text #13

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Max Activating Token Index: 1018

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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Data Index: 523629 (C4 (Web Text))

Max Activating Token Index: 991