Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 2709 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0506. Min Act: -0.0003

Data Index: 9983 (C4 (Web Text))

Max Activating Token Index: 472

Text #1

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Data Index: 76783 (C4 (Web Text))

Max Activating Token Index: 982

Text #2

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Max Act: 0.0482. Min Act: -0.0003

Data Index: 736152 (C4 (Web Text))

Max Activating Token Index: 145

Text #3

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Max Act: 0.0483. Min Act: -0.0003

Data Index: 940265 (C4 (Web Text))

Max Activating Token Index: 750

Text #4

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Data Index: 1186294 (C4 (Web Text))

Max Activating Token Index: 347

Text #5

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Data Index: 527278 (C4 (Web Text))

Max Activating Token Index: 91

Text #6

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Max Activating Token Index: 889

Text #7

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Max Activating Token Index: 390

Text #8

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Max Activating Token Index: 626

Text #9

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Max Activating Token Index: 660

Text #10

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Max Activating Token Index: 645

Text #11

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Max Activating Token Index: 795

Text #12

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Max Activating Token Index: 881

Text #13

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Data Index: 122222 (C4 (Web Text))

Max Activating Token Index: 402

Text #14

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Data Index: 427981 (C4 (Web Text))

Max Activating Token Index: 396

Text #15

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Max Activating Token Index: 258

Text #16

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Max Activating Token Index: 25

Text #17

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Max Activating Token Index: 153

Text #18

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Max Activating Token Index: 503

Text #19

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Data Index: 437521 (C4 (Web Text))

Max Activating Token Index: 3