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

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

Neuron 624 in Layer 0

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

Text #0

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Max Act: 0.0463. Min Act: -0.0004

Data Index: 154853 (C4 (Web Text))

Max Activating Token Index: 639

Text #1

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Max Act: 0.0447. Min Act: -0.0004

Data Index: 545475 (C4 (Web Text))

Max Activating Token Index: 939

Text #2

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Max Act: 0.0433. Min Act: -0.0004

Data Index: 1032635 (C4 (Web Text))

Max Activating Token Index: 457

Text #3

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Max Act: 0.0418. Min Act: -0.0004

Data Index: 148692 (C4 (Web Text))

Max Activating Token Index: 843

Text #4

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Data Index: 519762 (C4 (Web Text))

Max Activating Token Index: 695

Text #5

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Data Index: 1316337 (C4 (Web Text))

Max Activating Token Index: 848

Text #6

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Data Index: 755815 (C4 (Web Text))

Max Activating Token Index: 72

Text #7

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Max Activating Token Index: 730

Text #8

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Max Activating Token Index: 757

Text #9

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Max Activating Token Index: 197

Text #10

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Max Activating Token Index: 631

Text #11

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Data Index: 209022 (C4 (Web Text))

Max Activating Token Index: 120

Text #12

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Max Activating Token Index: 725

Text #13

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Data Index: 924219 (C4 (Web Text))

Max Activating Token Index: 436

Text #14

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Data Index: 101514 (C4 (Web Text))

Max Activating Token Index: 847

Text #15

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Max Activating Token Index: 18

Text #16

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Text #17

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Data Index: 1314081 (C4 (Web Text))

Max Activating Token Index: 136

Text #18

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Data Index: 425278 (C4 (Web Text))

Max Activating Token Index: 971

Text #19

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Max Act: 0.0377. Min Act: -0.0004

Data Index: 707746 (C4 (Web Text))

Max Activating Token Index: 785