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

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

Neuron 1474 in Layer 0

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

Text #0

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Max Act: 0.0123. Min Act: -0.0006

Data Index: 139133 (C4 (Web Text))

Max Activating Token Index: 273

Text #1

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Data Index: 65250 (C4 (Web Text))

Max Activating Token Index: 799

Text #2

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Max Act: 0.0116. Min Act: -0.0006

Data Index: 47946 (C4 (Web Text))

Max Activating Token Index: 556

Text #3

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Max Act: 0.0113. Min Act: -0.0006

Data Index: 584562 (C4 (Web Text))

Max Activating Token Index: 992

Text #4

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Max Act: 0.0115. Min Act: -0.0006

Data Index: 792891 (C4 (Web Text))

Max Activating Token Index: 682

Text #5

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Max Act: 0.0114. Min Act: -0.0006

Data Index: 1289001 (C4 (Web Text))

Max Activating Token Index: 550

Text #6

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Data Index: 99611 (C4 (Web Text))

Max Activating Token Index: 241

Text #7

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Max Activating Token Index: 1021

Text #8

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Max Activating Token Index: 162

Text #9

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Data Index: 632784 (C4 (Web Text))

Max Activating Token Index: 479

Text #10

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Data Index: 934583 (C4 (Web Text))

Max Activating Token Index: 802

Text #11

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Data Index: 84298 (C4 (Web Text))

Max Activating Token Index: 478

Text #12

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Data Index: 303908 (C4 (Web Text))

Max Activating Token Index: 874

Text #13

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Max Activating Token Index: 681

Text #14

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Max Activating Token Index: 714

Text #15

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Data Index: 353500 (C4 (Web Text))

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Text #16

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Text #17

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Max Activating Token Index: 762

Text #18

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Max Activating Token Index: 642

Text #19

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Data Index: 981867 (C4 (Web Text))

Max Activating Token Index: 420