Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1834 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0140. Min Act: -0.0005

Data Index: 1585392 (Python Code)

Max Activating Token Index: 125

Text #1

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Max Act: 0.0138. Min Act: -0.0006

Data Index: 881222 (C4 (Web Text))

Max Activating Token Index: 457

Text #2

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Max Act: 0.0140. Min Act: -0.0006

Data Index: 1626271 (Python Code)

Max Activating Token Index: 722

Text #3

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Max Act: 0.0138. Min Act: -0.0005

Data Index: 1640870 (Python Code)

Max Activating Token Index: 648

Text #4

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Max Act: 0.0137. Min Act: -0.0005

Data Index: 1612639 (Python Code)

Max Activating Token Index: 778

Text #5

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Max Act: 0.0135. Min Act: -0.0005

Data Index: 1382477 (Python Code)

Max Activating Token Index: 36

Text #6

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Data Index: 1546490 (Python Code)

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Text #7

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Data Index: 165585 (C4 (Web Text))

Max Activating Token Index: 354

Text #8

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Data Index: 1509359 (Python Code)

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Text #9

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Data Index: 1561273 (Python Code)

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Text #10

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Data Index: 1601314 (Python Code)

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Text #11

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Data Index: 1554129 (Python Code)

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Text #12

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Data Index: 1621792 (Python Code)

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Text #13

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Data Index: 1554541 (Python Code)

Max Activating Token Index: 273

Text #14

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Data Index: 1415598 (Python Code)

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Text #15

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Data Index: 1609831 (Python Code)

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Text #16

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Data Index: 1578076 (Python Code)

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Text #17

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Text #18

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Data Index: 1472858 (Python Code)

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Text #19

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Data Index: 1411725 (Python Code)

Max Activating Token Index: 702