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

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

Neuron 4992 in Layer 5

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



Text #0

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Max Act: 0.0920. Min Act: -0.0000

Data Index: 643611 (C4 (Web Text))

Max Activating Token Index: 310

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Text #1

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Max Act: 0.0778. Min Act: -0.0000

Data Index: 749054 (C4 (Web Text))

Max Activating Token Index: 910

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Text #2

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Max Act: 0.0689. Min Act: -0.0000

Data Index: 1605759 (Python Code)

Max Activating Token Index: 331

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Text #3

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Max Act: 0.0705. Min Act: -0.0000

Data Index: 1580195 (Python Code)

Max Activating Token Index: 254

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Text #4

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Max Act: 0.0688. Min Act: -0.0000

Data Index: 1586517 (Python Code)

Max Activating Token Index: 339

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Text #5

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Data Index: 1521110 (Python Code)

Max Activating Token Index: 568

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Text #6

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Data Index: 1428761 (Python Code)

Max Activating Token Index: 425

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Text #7

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Data Index: 1515296 (Python Code)

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Text #8

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Data Index: 1606768 (Python Code)

Max Activating Token Index: 307

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Text #9

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Data Index: 1451586 (Python Code)

Max Activating Token Index: 835

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Text #10

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Data Index: 390693 (C4 (Web Text))

Max Activating Token Index: 644

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Text #11

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Data Index: 1392652 (Python Code)

Max Activating Token Index: 631

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Text #12

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Data Index: 1395222 (Python Code)

Max Activating Token Index: 419

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Text #13

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Data Index: 271170 (C4 (Web Text))

Max Activating Token Index: 154

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Text #14

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Data Index: 1383184 (Python Code)

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Text #15

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Data Index: 1638733 (Python Code)

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Text #16

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Data Index: 1587950 (Python Code)

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Text #17

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Data Index: 1381021 (Python Code)

Max Activating Token Index: 381

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Text #18

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Data Index: 1576708 (Python Code)

Max Activating Token Index: 342

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Text #19

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Data Index: 424305 (C4 (Web Text))

Max Activating Token Index: 57

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