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

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

Neuron 895 in Layer 1

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

Text #0

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Max Act: 0.0385. Min Act: -0.0001

Data Index: 1218314 (C4 (Web Text))

Max Activating Token Index: 271

Text #1

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Max Act: 0.0392. Min Act: -0.0004

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Max Activating Token Index: 547

Text #2

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Max Act: 0.0381. Min Act: -0.0001

Data Index: 594258 (C4 (Web Text))

Max Activating Token Index: 780

Text #3

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Data Index: 1265284 (C4 (Web Text))

Max Activating Token Index: 500

Text #4

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Data Index: 1008851 (C4 (Web Text))

Max Activating Token Index: 886

Text #5

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Max Activating Token Index: 730

Text #6

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Max Activating Token Index: 676

Text #7

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Text #8

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Max Activating Token Index: 304

Text #9

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Max Activating Token Index: 779

Text #10

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Max Activating Token Index: 960

Text #11

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Max Activating Token Index: 798

Text #12

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Max Activating Token Index: 645

Text #13

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Max Activating Token Index: 70

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 734

Text #17

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Max Activating Token Index: 513

Text #18

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Text #19

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Data Index: 140153 (C4 (Web Text))

Max Activating Token Index: 64