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

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

Neuron 53 in Layer 9

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



Text #0

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Max Act: 0.6750. Min Act: -0.0000

Data Index: 1074485 (C4 (Web Text))

Max Activating Token Index: 215

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Text #1

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Max Act: 0.6790. Min Act: -0.0000

Data Index: 1623488 (Python Code)

Max Activating Token Index: 953

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Text #2

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Max Act: 0.6294. Min Act: -0.0000

Data Index: 1467395 (Python Code)

Max Activating Token Index: 817

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Text #3

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Data Index: 1569374 (Python Code)

Max Activating Token Index: 860

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Text #4

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Max Act: 0.5979. Min Act: -0.0000

Data Index: 1578727 (Python Code)

Max Activating Token Index: 925

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Text #5

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Data Index: 1416543 (Python Code)

Max Activating Token Index: 934

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Text #6

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Data Index: 115731 (C4 (Web Text))

Max Activating Token Index: 621

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Text #7

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Data Index: 1479391 (Python Code)

Max Activating Token Index: 920

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Text #8

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Data Index: 1417841 (Python Code)

Max Activating Token Index: 158

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Text #9

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Data Index: 1572997 (Python Code)

Max Activating Token Index: 538

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Text #10

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Data Index: 554514 (C4 (Web Text))

Max Activating Token Index: 185

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Text #11

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Data Index: 1459872 (Python Code)

Max Activating Token Index: 609

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Text #12

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Data Index: 1479586 (Python Code)

Max Activating Token Index: 775

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Text #13

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Data Index: 1609993 (Python Code)

Max Activating Token Index: 352

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Text #14

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Data Index: 1476604 (Python Code)

Max Activating Token Index: 994

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Text #15

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Data Index: 1415042 (Python Code)

Max Activating Token Index: 485

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Text #16

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Data Index: 1396872 (Python Code)

Max Activating Token Index: 437

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Text #17

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Data Index: 1401141 (Python Code)

Max Activating Token Index: 838

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Text #18

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Data Index: 520509 (C4 (Web Text))

Max Activating Token Index: 140

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Text #19

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Max Act: 0.5205. Min Act: -0.0000

Data Index: 1416305 (Python Code)

Max Activating Token Index: 284

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