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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 4389 in Layer 6

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 0.1120. Min Act: -0.0000

Data Index: 1595971 (Python Code)

Max Activating Token Index: 427

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Text #1

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Max Act: 0.1333. Min Act: -0.0000

Data Index: 313702 (C4 (Web Text))

Max Activating Token Index: 854

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Text #2

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Max Act: 0.1045. Min Act: -0.0000

Data Index: 1561076 (Python Code)

Max Activating Token Index: 894

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Text #3

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Max Act: 0.1002. Min Act: -0.0000

Data Index: 1578014 (Python Code)

Max Activating Token Index: 65

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Text #4

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Data Index: 484375 (C4 (Web Text))

Max Activating Token Index: 999

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Text #5

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Data Index: 1444919 (Python Code)

Max Activating Token Index: 219

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Text #6

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Data Index: 1417302 (Python Code)

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Text #7

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Data Index: 1396454 (Python Code)

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Text #8

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Data Index: 1531568 (Python Code)

Max Activating Token Index: 792

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Text #9

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Data Index: 1464807 (Python Code)

Max Activating Token Index: 633

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Text #10

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Data Index: 1429375 (Python Code)

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Text #11

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Data Index: 1655970 (Python Code)

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Text #12

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Data Index: 1556932 (Python Code)

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Text #13

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Data Index: 1432528 (Python Code)

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Text #14

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Data Index: 90617 (C4 (Web Text))

Max Activating Token Index: 254

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Text #15

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Data Index: 137566 (C4 (Web Text))

Max Activating Token Index: 950

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Text #16

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Data Index: 98302 (C4 (Web Text))

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Text #17

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Data Index: 1460752 (Python Code)

Max Activating Token Index: 288

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Text #18

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Data Index: 1656097 (Python Code)

Max Activating Token Index: 960

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Text #19

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Data Index: 1576687 (Python Code)

Max Activating Token Index: 185

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