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

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

Neuron 3522 in Layer 5

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



Text #0

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Max Act: 0.0508. Min Act: -0.0000

Data Index: 1167248 (C4 (Web Text))

Max Activating Token Index: 96

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Text #1

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Max Act: 0.0434. Min Act: -0.0000

Data Index: 755191 (C4 (Web Text))

Max Activating Token Index: 560

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Text #2

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Max Act: 0.0434. Min Act: -0.0000

Data Index: 1522346 (Python Code)

Max Activating Token Index: 706

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Text #3

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Max Act: 0.0459. Min Act: -0.0000

Data Index: 1189626 (C4 (Web Text))

Max Activating Token Index: 242

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Text #4

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Max Act: 0.0391. Min Act: -0.0000

Data Index: 583273 (C4 (Web Text))

Max Activating Token Index: 802

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Text #5

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Max Act: 0.0433. Min Act: -0.0000

Data Index: 488318 (C4 (Web Text))

Max Activating Token Index: 931

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Text #6

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Data Index: 766768 (C4 (Web Text))

Max Activating Token Index: 652

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Text #7

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Data Index: 966180 (C4 (Web Text))

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Text #8

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Data Index: 1018813 (C4 (Web Text))

Max Activating Token Index: 695

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Text #9

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Data Index: 1567091 (Python Code)

Max Activating Token Index: 787

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Text #10

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Data Index: 538178 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 1208722 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 255043 (C4 (Web Text))

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Text #15

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Data Index: 244637 (C4 (Web Text))

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Text #16

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Data Index: 568739 (C4 (Web Text))

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Text #17

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Data Index: 657783 (C4 (Web Text))

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Text #18

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Max Act: 0.0323. Min Act: -0.0000

Data Index: 1330772 (C4 (Web Text))

Max Activating Token Index: 666

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Text #19

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Max Act: 0.0329. Min Act: -0.0000

Data Index: 861406 (C4 (Web Text))

Max Activating Token Index: 842

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