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

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

Neuron 1771 in Layer 1

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



Text #0

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Max Act: 0.0123. Min Act: -0.0006

Data Index: 1387816 (Python Code)

Max Activating Token Index: 889

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Text #1

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Max Act: 0.0129. Min Act: -0.0006

Data Index: 1634098 (Python Code)

Max Activating Token Index: 381

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Text #2

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Max Act: 0.0118. Min Act: -0.0006

Data Index: 466014 (C4 (Web Text))

Max Activating Token Index: 661

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Text #3

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Max Act: 0.0112. Min Act: -0.0006

Data Index: 960309 (C4 (Web Text))

Max Activating Token Index: 960

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Text #4

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Max Act: 0.0109. Min Act: -0.0006

Data Index: 1552876 (Python Code)

Max Activating Token Index: 472

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Text #5

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Max Act: 0.0113. Min Act: -0.0006

Data Index: 193944 (C4 (Web Text))

Max Activating Token Index: 754

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Text #6

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Data Index: 1127186 (C4 (Web Text))

Max Activating Token Index: 1011

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Text #7

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Data Index: 1446374 (Python Code)

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Text #8

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Data Index: 1442965 (Python Code)

Max Activating Token Index: 251

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Text #9

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Data Index: 1479007 (Python Code)

Max Activating Token Index: 609

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Text #10

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Data Index: 45633 (C4 (Web Text))

Max Activating Token Index: 57

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Text #11

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Data Index: 1475306 (Python Code)

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Text #12

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Data Index: 1510484 (Python Code)

Max Activating Token Index: 221

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Text #13

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Data Index: 1634240 (Python Code)

Max Activating Token Index: 405

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Text #14

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Data Index: 1420108 (Python Code)

Max Activating Token Index: 108

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Text #15

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Data Index: 1601619 (Python Code)

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Text #16

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Data Index: 1558248 (Python Code)

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Text #17

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Data Index: 1498122 (Python Code)

Max Activating Token Index: 302

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Text #18

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Data Index: 1573084 (Python Code)

Max Activating Token Index: 974

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Text #19

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Data Index: 1611167 (Python Code)

Max Activating Token Index: 402

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