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

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

Neuron 694 in Layer 0

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

Text #0

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Max Act: 0.0090. Min Act: -0.0006

Data Index: 474880 (C4 (Web Text))

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0089. Min Act: -0.0006

Data Index: 96387 (C4 (Web Text))

Max Activating Token Index: 594

Text #2

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Data Index: 802301 (C4 (Web Text))

Max Activating Token Index: 360

Text #3

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Max Act: 0.0088. Min Act: -0.0006

Data Index: 1210672 (C4 (Web Text))

Max Activating Token Index: 684

Text #4

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Data Index: 385780 (C4 (Web Text))

Max Activating Token Index: 758

Text #5

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Max Act: 0.0080. Min Act: -0.0006

Data Index: 151780 (C4 (Web Text))

Max Activating Token Index: 137

Text #6

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Data Index: 1321351 (C4 (Web Text))

Max Activating Token Index: 280

Text #7

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Max Activating Token Index: 61

Text #8

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Max Activating Token Index: 613

Text #9

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Data Index: 21449 (C4 (Web Text))

Max Activating Token Index: 362

Text #10

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Data Index: 507097 (C4 (Web Text))

Max Activating Token Index: 678

Text #11

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Text #12

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Data Index: 1319853 (C4 (Web Text))

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Text #13

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Max Activating Token Index: 16

Text #14

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Max Activating Token Index: 514

Text #15

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Data Index: 704114 (C4 (Web Text))

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Text #16

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Data Index: 345183 (C4 (Web Text))

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Text #17

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Text #18

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Max Activating Token Index: 1007

Text #19

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Data Index: 704302 (C4 (Web Text))

Max Activating Token Index: 1023