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

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

Neuron 3507 in Layer 7

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 0.4655. Min Act: -0.0000

Data Index: 876720 (C4 (Web Text))

Max Activating Token Index: 978

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Text #1

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Max Act: 0.4563. Min Act: -0.0000

Data Index: 347639 (C4 (Web Text))

Max Activating Token Index: 541

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Text #2

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Max Act: 0.4437. Min Act: -0.0000

Data Index: 622348 (C4 (Web Text))

Max Activating Token Index: 63

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Text #3

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Max Act: 0.3616. Min Act: -0.0000

Data Index: 721312 (C4 (Web Text))

Max Activating Token Index: 761

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Text #4

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Max Act: 0.3675. Min Act: -0.0000

Data Index: 535025 (C4 (Web Text))

Max Activating Token Index: 1004

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Text #5

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Data Index: 1129271 (C4 (Web Text))

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Text #6

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Data Index: 1247949 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 669963 (C4 (Web Text))

Max Activating Token Index: 87

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Text #9

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Data Index: 759480 (C4 (Web Text))

Max Activating Token Index: 298

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Text #10

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Data Index: 1179153 (C4 (Web Text))

Max Activating Token Index: 926

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Text #11

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Text #12

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Data Index: 349788 (C4 (Web Text))

Max Activating Token Index: 803

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Text #13

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Max Activating Token Index: 30

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Text #14

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Data Index: 1160140 (C4 (Web Text))

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Text #15

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Data Index: 17290 (C4 (Web Text))

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Text #16

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Data Index: 538213 (C4 (Web Text))

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Text #17

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Data Index: 1405209 (Python Code)

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Text #18

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Data Index: 473211 (C4 (Web Text))

Max Activating Token Index: 550

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Text #19

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Data Index: 1557636 (Python Code)

Max Activating Token Index: 223

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