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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 6136 in Layer 6

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 0.0748. Min Act: -0.0000

Data Index: 1545413 (Python Code)

Max Activating Token Index: 272

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Text #1

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Data Index: 1043499 (C4 (Web Text))

Max Activating Token Index: 794

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Text #2

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Max Act: 0.0667. Min Act: -0.0000

Data Index: 595959 (C4 (Web Text))

Max Activating Token Index: 383

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Text #3

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Max Act: 0.0596. Min Act: -0.0000

Data Index: 988497 (C4 (Web Text))

Max Activating Token Index: 395

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Text #4

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Max Act: 0.0598. Min Act: -0.0000

Data Index: 1338555 (C4 (Web Text))

Max Activating Token Index: 589

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Text #5

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Data Index: 1390479 (Python Code)

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Text #6

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Data Index: 1094141 (C4 (Web Text))

Max Activating Token Index: 862

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Text #7

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Data Index: 556609 (C4 (Web Text))

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Text #8

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Data Index: 36695 (C4 (Web Text))

Max Activating Token Index: 793

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Text #9

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Data Index: 208527 (C4 (Web Text))

Max Activating Token Index: 367

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Text #10

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Data Index: 1578179 (Python Code)

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Text #11

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Data Index: 1636535 (Python Code)

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Text #12

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Data Index: 1278795 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 816545 (C4 (Web Text))

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Text #15

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Data Index: 356741 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1365748 (Python Code)

Max Activating Token Index: 355

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Text #18

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Max Act: 0.0512. Min Act: -0.0000

Data Index: 98888 (C4 (Web Text))

Max Activating Token Index: 426

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Text #19

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Data Index: 702535 (C4 (Web Text))

Max Activating Token Index: 689

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