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

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

Neuron 665 in Layer 4

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

Text #0

Max Range: 0.2005. Min Range: -0.2005

Max Act: 0.2005. Min Act: -0.0001

Data Index: 1051654 (C4 (Web Text))

Max Activating Token Index: 368

Text #1

Max Range: 0.2005. Min Range: -0.2005

Max Act: 0.1800. Min Act: -0.0000

Data Index: 480218 (C4 (Web Text))

Max Activating Token Index: 114

Text #2

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Data Index: 1153705 (C4 (Web Text))

Max Activating Token Index: 336

Text #3

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Data Index: 514388 (C4 (Web Text))

Max Activating Token Index: 72

Text #4

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Data Index: 1323780 (C4 (Web Text))

Max Activating Token Index: 974

Text #5

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Data Index: 595803 (C4 (Web Text))

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Text #6

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Data Index: 706610 (C4 (Web Text))

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Text #7

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Text #8

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Max Activating Token Index: 612

Text #9

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Max Activating Token Index: 719

Text #10

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Text #11

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Data Index: 487124 (C4 (Web Text))

Max Activating Token Index: 651

Text #12

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Data Index: 310891 (C4 (Web Text))

Max Activating Token Index: 871

Text #13

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Data Index: 324117 (C4 (Web Text))

Max Activating Token Index: 754

Text #14

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Data Index: 1131324 (C4 (Web Text))

Max Activating Token Index: 78

Text #15

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Data Index: 336203 (C4 (Web Text))

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Text #16

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Data Index: 659885 (C4 (Web Text))

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Text #17

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Data Index: 864069 (C4 (Web Text))

Max Activating Token Index: 573

Text #18

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Data Index: 110590 (C4 (Web Text))

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Text #19

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Data Index: 1247883 (C4 (Web Text))

Max Activating Token Index: 780