Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1543 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0364. Min Act: -0.0004

Data Index: 687689 (C4 (Web Text))

Max Activating Token Index: 140

Text #1

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Max Act: 0.0320. Min Act: -0.0004

Data Index: 1291352 (C4 (Web Text))

Max Activating Token Index: 453

Text #2

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Max Act: 0.0320. Min Act: -0.0004

Data Index: 702669 (C4 (Web Text))

Max Activating Token Index: 944

Text #3

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Max Act: 0.0315. Min Act: -0.0004

Data Index: 232381 (C4 (Web Text))

Max Activating Token Index: 134

Text #4

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Max Act: 0.0308. Min Act: -0.0004

Data Index: 1289517 (C4 (Web Text))

Max Activating Token Index: 796

Text #5

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Data Index: 970725 (C4 (Web Text))

Max Activating Token Index: 932

Text #6

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Data Index: 239283 (C4 (Web Text))

Max Activating Token Index: 702

Text #7

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Data Index: 263217 (C4 (Web Text))

Max Activating Token Index: 834

Text #8

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Data Index: 836449 (C4 (Web Text))

Max Activating Token Index: 596

Text #9

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Data Index: 374741 (C4 (Web Text))

Max Activating Token Index: 812

Text #10

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Data Index: 1125151 (C4 (Web Text))

Max Activating Token Index: 459

Text #11

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Data Index: 1298531 (C4 (Web Text))

Max Activating Token Index: 56

Text #12

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Data Index: 1011698 (C4 (Web Text))

Max Activating Token Index: 587

Text #13

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Data Index: 1203726 (C4 (Web Text))

Max Activating Token Index: 903

Text #14

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Data Index: 1100902 (C4 (Web Text))

Max Activating Token Index: 482

Text #15

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Max Activating Token Index: 557

Text #16

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Max Activating Token Index: 631

Text #17

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Data Index: 1119653 (C4 (Web Text))

Max Activating Token Index: 244

Text #18

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Max Act: 0.0251. Min Act: -0.0004

Data Index: 961405 (C4 (Web Text))

Max Activating Token Index: 468

Text #19

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Max Act: 0.0256. Min Act: -0.0004

Data Index: 55169 (C4 (Web Text))

Max Activating Token Index: 855