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

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

Neuron 1180 in Layer 1

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

Text #0

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Max Act: 0.0350. Min Act: -0.0003

Data Index: 1257335 (C4 (Web Text))

Max Activating Token Index: 163

Text #1

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Data Index: 701641 (C4 (Web Text))

Max Activating Token Index: 664

Text #2

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Max Act: 0.0315. Min Act: -0.0003

Data Index: 55731 (C4 (Web Text))

Max Activating Token Index: 1016

Text #3

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Max Act: 0.0314. Min Act: -0.0003

Data Index: 444129 (C4 (Web Text))

Max Activating Token Index: 734

Text #4

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Data Index: 1053830 (C4 (Web Text))

Max Activating Token Index: 471

Text #5

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Data Index: 480758 (C4 (Web Text))

Max Activating Token Index: 618

Text #6

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Max Activating Token Index: 853

Text #7

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Text #8

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Data Index: 201583 (C4 (Web Text))

Max Activating Token Index: 332

Text #9

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Max Activating Token Index: 119

Text #10

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Max Activating Token Index: 265

Text #11

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Max Activating Token Index: 21

Text #12

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Max Activating Token Index: 964

Text #13

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Max Activating Token Index: 738

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 446

Text #17

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Max Activating Token Index: 917

Text #18

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Data Index: 215502 (C4 (Web Text))

Max Activating Token Index: 678

Text #19

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Data Index: 127155 (C4 (Web Text))

Max Activating Token Index: 23