Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 3606 in Layer 9

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.3615. Min Act: -0.0000

Data Index: 218706 (C4 (Web Text))

Max Activating Token Index: 596

Text #1

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Data Index: 667232 (C4 (Web Text))

Max Activating Token Index: 240

Text #2

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Data Index: 1270994 (C4 (Web Text))

Max Activating Token Index: 16

Text #3

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Max Act: 0.2933. Min Act: -0.0000

Data Index: 34085 (C4 (Web Text))

Max Activating Token Index: 55

Text #4

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Data Index: 790136 (C4 (Web Text))

Max Activating Token Index: 207

Text #5

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Data Index: 628004 (C4 (Web Text))

Max Activating Token Index: 459

Text #6

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Max Activating Token Index: 246

Text #7

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Max Activating Token Index: 820

Text #8

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Max Activating Token Index: 527

Text #9

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Data Index: 827561 (C4 (Web Text))

Max Activating Token Index: 922

Text #10

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Data Index: 319724 (C4 (Web Text))

Max Activating Token Index: 539

Text #11

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Max Activating Token Index: 933

Text #12

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Data Index: 1183515 (C4 (Web Text))

Max Activating Token Index: 492

Text #13

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Data Index: 572046 (C4 (Web Text))

Max Activating Token Index: 793

Text #14

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Data Index: 390900 (C4 (Web Text))

Max Activating Token Index: 211

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 284

Text #18

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Text #19

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Data Index: 758766 (C4 (Web Text))

Max Activating Token Index: 906