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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 69 in Layer 3

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



Text #0

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Max Act: 0.0297. Min Act: -0.0002

Data Index: 299158 (C4 (Web Text))

Max Activating Token Index: 847

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Text #1

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Data Index: 221465 (C4 (Web Text))

Max Activating Token Index: 813

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Text #2

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Max Act: 0.0255. Min Act: -0.0002

Data Index: 91694 (C4 (Web Text))

Max Activating Token Index: 778

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Text #3

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Data Index: 230218 (C4 (Web Text))

Max Activating Token Index: 177

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Text #4

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Data Index: 348977 (C4 (Web Text))

Max Activating Token Index: 372

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Text #5

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Data Index: 488184 (C4 (Web Text))

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Text #6

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Data Index: 1198303 (C4 (Web Text))

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Text #7

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Data Index: 1411730 (Python Code)

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Text #8

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Data Index: 1569300 (Python Code)

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Text #9

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Data Index: 1624815 (Python Code)

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Text #10

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Text #11

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Text #12

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Data Index: 1412610 (Python Code)

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Text #13

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Text #14

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Data Index: 1597374 (Python Code)

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Text #15

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Data Index: 611788 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 372375 (C4 (Web Text))

Max Activating Token Index: 68

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Text #18

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Data Index: 772375 (C4 (Web Text))

Max Activating Token Index: 696

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Text #19

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Data Index: 382130 (C4 (Web Text))

Max Activating Token Index: 818

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