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

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

Neuron 1309 in Layer 0

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



Text #0

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Max Act: 0.0233. Min Act: -0.0002

Data Index: 1453445 (Python Code)

Max Activating Token Index: 142

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Text #1

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Max Act: 0.0211. Min Act: -0.0002

Data Index: 1603132 (Python Code)

Max Activating Token Index: 676

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Text #2

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Max Act: 0.0210. Min Act: -0.0002

Data Index: 1435839 (Python Code)

Max Activating Token Index: 837

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Text #3

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Max Act: 0.0199. Min Act: -0.0002

Data Index: 1614677 (Python Code)

Max Activating Token Index: 481

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Text #4

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Data Index: 1619111 (Python Code)

Max Activating Token Index: 71

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Text #5

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Data Index: 1412710 (Python Code)

Max Activating Token Index: 790

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Text #6

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Data Index: 1416111 (Python Code)

Max Activating Token Index: 898

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Text #7

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Data Index: 1532976 (Python Code)

Max Activating Token Index: 783

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Text #8

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Data Index: 1390441 (Python Code)

Max Activating Token Index: 559

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Text #9

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Data Index: 1483824 (Python Code)

Max Activating Token Index: 312

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Text #10

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Data Index: 1466647 (Python Code)

Max Activating Token Index: 203

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Text #11

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Data Index: 328094 (C4 (Web Text))

Max Activating Token Index: 312

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Text #12

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Data Index: 1588847 (Python Code)

Max Activating Token Index: 575

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Text #13

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Data Index: 1634756 (Python Code)

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Text #14

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Data Index: 652945 (C4 (Web Text))

Max Activating Token Index: 24

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Text #15

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Data Index: 1571450 (Python Code)

Max Activating Token Index: 122

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Text #16

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Data Index: 1597145 (Python Code)

Max Activating Token Index: 281

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Text #17

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Data Index: 1580349 (Python Code)

Max Activating Token Index: 173

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Text #18

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Data Index: 1444659 (Python Code)

Max Activating Token Index: 292

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Text #19

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Max Act: 0.0170. Min Act: -0.0002

Data Index: 1438745 (Python Code)

Max Activating Token Index: 233

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