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

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

Neuron 2168 in Layer 3

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



Text #0

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Max Act: 0.0730. Min Act: -0.0001

Data Index: 1640644 (Python Code)

Max Activating Token Index: 420

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Text #1

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Max Act: 0.0693. Min Act: -0.0001

Data Index: 1228647 (C4 (Web Text))

Max Activating Token Index: 741

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Text #2

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Max Act: 0.0701. Min Act: -0.0001

Data Index: 831347 (C4 (Web Text))

Max Activating Token Index: 448

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Text #3

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Max Act: 0.0681. Min Act: -0.0001

Data Index: 879134 (C4 (Web Text))

Max Activating Token Index: 245

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Text #4

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Data Index: 735686 (C4 (Web Text))

Max Activating Token Index: 617

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Text #5

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Data Index: 874064 (C4 (Web Text))

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Text #6

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Data Index: 798024 (C4 (Web Text))

Max Activating Token Index: 390

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Text #7

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Data Index: 236736 (C4 (Web Text))

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Text #8

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Data Index: 455123 (C4 (Web Text))

Max Activating Token Index: 831

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Text #9

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Data Index: 287478 (C4 (Web Text))

Max Activating Token Index: 808

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Text #10

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Data Index: 1462543 (Python Code)

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Text #11

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Data Index: 33750 (C4 (Web Text))

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Text #12

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Data Index: 1009553 (C4 (Web Text))

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Text #13

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Data Index: 426015 (C4 (Web Text))

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Text #14

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Data Index: 1344118 (C4 (Web Text))

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Text #15

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Data Index: 869449 (C4 (Web Text))

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Text #16

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Data Index: 163178 (C4 (Web Text))

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Text #17

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Data Index: 673289 (C4 (Web Text))

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Text #18

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Data Index: 604168 (C4 (Web Text))

Max Activating Token Index: 448

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Text #19

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Data Index: 1127268 (C4 (Web Text))

Max Activating Token Index: 159

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