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

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

Neuron 2896 in Layer 5

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

Text #0

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Max Act: 0.3896. Min Act: -0.0000

Data Index: 478297 (C4 (Web Text))

Max Activating Token Index: 907

Text #1

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Data Index: 912694 (C4 (Web Text))

Max Activating Token Index: 38

Text #2

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Max Act: 0.3497. Min Act: -0.0000

Data Index: 139262 (C4 (Web Text))

Max Activating Token Index: 21

Text #3

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Max Act: 0.3277. Min Act: -0.0000

Data Index: 1429393 (Python Code)

Max Activating Token Index: 253

Text #4

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Data Index: 697898 (C4 (Web Text))

Max Activating Token Index: 537

Text #5

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Data Index: 173595 (C4 (Web Text))

Max Activating Token Index: 781

Text #6

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Max Activating Token Index: 337

Text #7

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Text #8

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Data Index: 450817 (C4 (Web Text))

Max Activating Token Index: 995

Text #9

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Data Index: 851864 (C4 (Web Text))

Max Activating Token Index: 488

Text #10

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Max Activating Token Index: 338

Text #11

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Max Activating Token Index: 637

Text #12

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Data Index: 1109012 (C4 (Web Text))

Max Activating Token Index: 609

Text #13

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Data Index: 616070 (C4 (Web Text))

Max Activating Token Index: 480

Text #14

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Data Index: 1106534 (C4 (Web Text))

Max Activating Token Index: 469

Text #15

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Max Activating Token Index: 237

Text #16

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Text #17

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Max Activating Token Index: 810

Text #18

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Data Index: 44174 (C4 (Web Text))

Max Activating Token Index: 89

Text #19

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Data Index: 970649 (C4 (Web Text))

Max Activating Token Index: 125