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

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

Neuron 1334 in Layer 0

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

Text #0

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Max Act: 0.0189. Min Act: -0.0004

Data Index: 1507425 (Python Code)

Max Activating Token Index: 483

Text #1

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Max Act: 0.0188. Min Act: -0.0004

Data Index: 399126 (C4 (Web Text))

Max Activating Token Index: 704

Text #2

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Max Act: 0.0186. Min Act: -0.0004

Data Index: 131252 (C4 (Web Text))

Max Activating Token Index: 663

Text #3

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Max Act: 0.0180. Min Act: -0.0004

Data Index: 869020 (C4 (Web Text))

Max Activating Token Index: 646

Text #4

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Max Act: 0.0174. Min Act: -0.0004

Data Index: 1052857 (C4 (Web Text))

Max Activating Token Index: 939

Text #5

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Data Index: 1321657 (C4 (Web Text))

Max Activating Token Index: 783

Text #6

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Max Activating Token Index: 146

Text #7

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Max Activating Token Index: 909

Text #8

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Max Activating Token Index: 802

Text #9

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Max Activating Token Index: 556

Text #10

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Max Activating Token Index: 468

Text #11

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Max Activating Token Index: 710

Text #12

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Max Activating Token Index: 136

Text #13

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Data Index: 301415 (C4 (Web Text))

Max Activating Token Index: 272

Text #14

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Max Activating Token Index: 731

Text #15

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Max Activating Token Index: 619

Text #16

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Max Activating Token Index: 385

Text #17

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Max Activating Token Index: 357

Text #18

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Max Activating Token Index: 117

Text #19

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Data Index: 336536 (C4 (Web Text))

Max Activating Token Index: 175