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

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

Neuron 278 in Layer 1

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

Text #0

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Max Act: 0.0401. Min Act: -0.0003

Data Index: 596334 (C4 (Web Text))

Max Activating Token Index: 95

Text #1

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Max Activating Token Index: 102

Text #2

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Max Act: 0.0382. Min Act: -0.0003

Data Index: 1332277 (C4 (Web Text))

Max Activating Token Index: 967

Text #3

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Max Act: 0.0384. Min Act: -0.0003

Data Index: 570689 (C4 (Web Text))

Max Activating Token Index: 74

Text #4

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Max Act: 0.0375. Min Act: -0.0003

Data Index: 543670 (C4 (Web Text))

Max Activating Token Index: 387

Text #5

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Max Act: 0.0377. Min Act: -0.0004

Data Index: 950458 (C4 (Web Text))

Max Activating Token Index: 428

Text #6

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Max Activating Token Index: 173

Text #7

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Max Activating Token Index: 817

Text #8

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Max Activating Token Index: 685

Text #9

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Data Index: 19748 (C4 (Web Text))

Max Activating Token Index: 420

Text #10

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Max Activating Token Index: 747

Text #11

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Data Index: 595963 (C4 (Web Text))

Max Activating Token Index: 28

Text #12

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Max Activating Token Index: 806

Text #13

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Max Activating Token Index: 846

Text #14

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Max Activating Token Index: 883

Text #15

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Text #16

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Max Activating Token Index: 638

Text #17

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Max Activating Token Index: 541

Text #18

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Data Index: 456154 (C4 (Web Text))

Max Activating Token Index: 653

Text #19

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Max Act: 0.0355. Min Act: -0.0003

Data Index: 533791 (C4 (Web Text))

Max Activating Token Index: 660