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

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

Neuron 650 in Layer 9

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

Text #0

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Max Act: 0.2167. Min Act: 0.0001

Data Index: 525984 (C4 (Web Text))

Max Activating Token Index: 323

Text #1

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Data Index: 735547 (C4 (Web Text))

Max Activating Token Index: 760

Text #2

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Data Index: 787101 (C4 (Web Text))

Max Activating Token Index: 912

Text #3

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Max Act: 0.1681. Min Act: -0.0000

Data Index: 985418 (C4 (Web Text))

Max Activating Token Index: 136

Text #4

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Data Index: 1301154 (C4 (Web Text))

Max Activating Token Index: 359

Text #5

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Data Index: 1112490 (C4 (Web Text))

Max Activating Token Index: 612

Text #6

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Data Index: 423547 (C4 (Web Text))

Max Activating Token Index: 80

Text #7

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Data Index: 1180864 (C4 (Web Text))

Max Activating Token Index: 507

Text #8

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Data Index: 1139236 (C4 (Web Text))

Max Activating Token Index: 251

Text #9

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Data Index: 877052 (C4 (Web Text))

Max Activating Token Index: 823

Text #10

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Data Index: 211653 (C4 (Web Text))

Max Activating Token Index: 564

Text #11

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Data Index: 728470 (C4 (Web Text))

Max Activating Token Index: 281

Text #12

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Data Index: 1038656 (C4 (Web Text))

Max Activating Token Index: 150

Text #13

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Data Index: 505270 (C4 (Web Text))

Max Activating Token Index: 977

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 960

Text #18

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Data Index: 1013435 (C4 (Web Text))

Max Activating Token Index: 414

Text #19

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Data Index: 699004 (C4 (Web Text))

Max Activating Token Index: 110