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

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

Neuron 321 in Layer 9

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



Text #0

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Max Act: 0.4162. Min Act: 0.0000

Data Index: 1259301 (C4 (Web Text))

Max Activating Token Index: 619

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Text #1

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Max Act: 0.3959. Min Act: -0.0000

Data Index: 214086 (C4 (Web Text))

Max Activating Token Index: 658

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Text #2

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Max Act: 0.4198. Min Act: -0.0000

Data Index: 1022320 (C4 (Web Text))

Max Activating Token Index: 334

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Text #3

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Max Act: 0.3588. Min Act: -0.0000

Data Index: 1575466 (Python Code)

Max Activating Token Index: 791

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Text #4

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Max Act: 0.3371. Min Act: -0.0000

Data Index: 562647 (C4 (Web Text))

Max Activating Token Index: 317

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Text #5

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Data Index: 1179326 (C4 (Web Text))

Max Activating Token Index: 681

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Text #6

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Data Index: 173572 (C4 (Web Text))

Max Activating Token Index: 612

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Text #7

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Data Index: 1025458 (C4 (Web Text))

Max Activating Token Index: 659

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Text #8

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Data Index: 139157 (C4 (Web Text))

Max Activating Token Index: 818

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Text #9

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Data Index: 892052 (C4 (Web Text))

Max Activating Token Index: 963

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Text #10

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Data Index: 1316283 (C4 (Web Text))

Max Activating Token Index: 734

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Text #11

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Data Index: 307585 (C4 (Web Text))

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Text #12

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Data Index: 166258 (C4 (Web Text))

Max Activating Token Index: 634

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Text #13

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Max Activating Token Index: 496

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Text #14

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Data Index: 1597370 (Python Code)

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Text #15

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Data Index: 843640 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 788885 (C4 (Web Text))

Max Activating Token Index: 205

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Text #18

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Data Index: 1579947 (Python Code)

Max Activating Token Index: 1021

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Text #19

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Data Index: 328630 (C4 (Web Text))

Max Activating Token Index: 941

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