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Model: SoLU Model: 1 Layers, 2048 Neurons per Layer

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

Neuron 31 in Layer 0

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Hooked Transformer Loading: HookedTransformer.from_pretrained('solu-1l')

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Text #0

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Max Act: 0.0257. Min Act: -0.0002

Data Index: 59316 (C4 (Web Text))

Max Activating Token Index: 417

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Text #1

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Max Act: 0.0216. Min Act: -0.0001

Data Index: 92646 (C4 (Web Text))

Max Activating Token Index: 230

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Truncated

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Text #2

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Max Act: 0.0199. Min Act: -0.0001

Data Index: 638051 (C4 (Web Text))

Max Activating Token Index: 689

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Text #3

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Max Act: 0.0194. Min Act: -0.0002

Data Index: 1057001 (C4 (Web Text))

Max Activating Token Index: 940

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Text #4

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Max Act: 0.0189. Min Act: -0.0002

Data Index: 1274940 (C4 (Web Text))

Max Activating Token Index: 179

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Text #5

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Max Act: 0.0190. Min Act: -0.0002

Data Index: 1441279 (Python Code)

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Text #6

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Data Index: 12989 (C4 (Web Text))

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Truncated

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Text #7

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Data Index: 674272 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 1074964 (C4 (Web Text))

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Text #9

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Data Index: 1456396 (Python Code)

Max Activating Token Index: 679

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Text #10

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Data Index: 1071213 (C4 (Web Text))

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Truncated

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Text #11

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Data Index: 1087325 (C4 (Web Text))

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Truncated

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Text #12

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Data Index: 375216 (C4 (Web Text))

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Text #13

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Data Index: 1532381 (Python Code)

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Text #14

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Data Index: 735964 (C4 (Web Text))

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Text #15

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Data Index: 287902 (C4 (Web Text))

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Text #16

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Data Index: 787250 (C4 (Web Text))

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Text #17

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Data Index: 838105 (C4 (Web Text))

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Text #18

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Data Index: 1379506 (Python Code)

Max Activating Token Index: 664

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Text #19

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Data Index: 1119858 (C4 (Web Text))

Max Activating Token Index: 349

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