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Model: SoLU Model: 1 Layers, 2048 Neurons per Layer

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

Neuron 470 in Layer 0

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Hooked Transformer Loading: HookedTransformer.from_pretrained('solu-1l')

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Text #0

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Max Act: 0.0203. Min Act: -0.0002

Data Index: 1636298 (Python Code)

Max Activating Token Index: 1000

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Text #1

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Max Act: 0.0192. Min Act: -0.0002

Data Index: 1388649 (Python Code)

Max Activating Token Index: 266

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Text #2

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Max Act: 0.0168. Min Act: -0.0002

Data Index: 578714 (C4 (Web Text))

Max Activating Token Index: 214

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Text #3

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Max Act: 0.0170. Min Act: -0.0002

Data Index: 1238064 (C4 (Web Text))

Max Activating Token Index: 351

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Text #4

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Max Act: 0.0164. Min Act: -0.0002

Data Index: 1644792 (Python Code)

Max Activating Token Index: 962

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Text #5

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Max Act: 0.0167. Min Act: -0.0002

Data Index: 160486 (C4 (Web Text))

Max Activating Token Index: 59

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Text #6

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Data Index: 427640 (C4 (Web Text))

Max Activating Token Index: 832

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Text #7

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Data Index: 126144 (C4 (Web Text))

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Text #8

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Data Index: 1574009 (Python Code)

Max Activating Token Index: 107

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Text #9

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Data Index: 1574099 (Python Code)

Max Activating Token Index: 453

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Text #10

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Data Index: 1378234 (Python Code)

Max Activating Token Index: 308

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Text #11

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Data Index: 1573323 (Python Code)

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Text #12

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Data Index: 1579125 (Python Code)

Max Activating Token Index: 468

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Text #13

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Data Index: 690336 (C4 (Web Text))

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Text #14

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Data Index: 871308 (C4 (Web Text))

Max Activating Token Index: 572

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Text #15

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Data Index: 531525 (C4 (Web Text))

Max Activating Token Index: 157

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Text #16

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Data Index: 1566634 (Python Code)

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Text #17

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Data Index: 1373711 (Python Code)

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Text #18

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Data Index: 1610277 (Python Code)

Max Activating Token Index: 468

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Text #19

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Data Index: 1000143 (C4 (Web Text))

Max Activating Token Index: 823

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