Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1437 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0104. Min Act: -0.0006

Data Index: 1301283 (C4 (Web Text))

Max Activating Token Index: 802

Text #1

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Max Act: 0.0101. Min Act: -0.0006

Data Index: 1101416 (C4 (Web Text))

Max Activating Token Index: 605

Text #2

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Max Act: 0.0097. Min Act: -0.0006

Data Index: 158845 (C4 (Web Text))

Max Activating Token Index: 538

Text #3

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Max Act: 0.0090. Min Act: -0.0006

Data Index: 577213 (C4 (Web Text))

Max Activating Token Index: 767

Text #4

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Max Act: 0.0097. Min Act: -0.0006

Data Index: 267458 (C4 (Web Text))

Max Activating Token Index: 72

Text #5

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Max Act: 0.0100. Min Act: -0.0006

Data Index: 345741 (C4 (Web Text))

Max Activating Token Index: 158

Text #6

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Data Index: 841621 (C4 (Web Text))

Max Activating Token Index: 111

Text #7

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Max Activating Token Index: 695

Text #8

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Max Activating Token Index: 588

Text #9

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Data Index: 187876 (C4 (Web Text))

Max Activating Token Index: 691

Text #10

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Max Activating Token Index: 276

Text #11

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Max Activating Token Index: 630

Text #12

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Max Activating Token Index: 479

Text #13

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Data Index: 231189 (C4 (Web Text))

Max Activating Token Index: 645

Text #14

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Data Index: 1200793 (C4 (Web Text))

Max Activating Token Index: 115

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 590

Text #18

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Data Index: 704084 (C4 (Web Text))

Max Activating Token Index: 349

Text #19

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Max Act: 0.0092. Min Act: -0.0006

Data Index: 940873 (C4 (Web Text))

Max Activating Token Index: 466