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

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

Neuron 179 in Layer 0

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



Text #0

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Max Act: 0.0102. Min Act: -0.0006

Data Index: 1501843 (Python Code)

Max Activating Token Index: 279

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Text #1

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Max Act: 0.0094. Min Act: -0.0004

Data Index: 1465490 (Python Code)

Max Activating Token Index: 904

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Text #2

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Max Act: 0.0090. Min Act: -0.0004

Data Index: 1560466 (Python Code)

Max Activating Token Index: 830

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Text #3

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Max Act: 0.0088. Min Act: -0.0005

Data Index: 1397591 (Python Code)

Max Activating Token Index: 235

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Text #4

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Data Index: 1524511 (Python Code)

Max Activating Token Index: 881

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Text #5

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Data Index: 1503796 (Python Code)

Max Activating Token Index: 961

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Text #6

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Data Index: 1147817 (C4 (Web Text))

Max Activating Token Index: 905

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Text #7

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Data Index: 1599981 (Python Code)

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Text #8

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Data Index: 1567863 (Python Code)

Max Activating Token Index: 845

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Text #9

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Data Index: 1621341 (Python Code)

Max Activating Token Index: 902

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Text #10

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Data Index: 1428460 (Python Code)

Max Activating Token Index: 847

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Text #11

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Data Index: 1531302 (Python Code)

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Text #12

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Data Index: 1309619 (C4 (Web Text))

Max Activating Token Index: 254

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Text #13

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Data Index: 1591593 (Python Code)

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Text #14

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Data Index: 1450596 (Python Code)

Max Activating Token Index: 850

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Text #15

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Data Index: 1461627 (Python Code)

Max Activating Token Index: 915

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Text #16

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Data Index: 1459035 (Python Code)

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Text #17

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Data Index: 1590566 (Python Code)

Max Activating Token Index: 246

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Text #18

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Data Index: 1540131 (Python Code)

Max Activating Token Index: 885

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Text #19

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Max Act: 0.0078. Min Act: -0.0005

Data Index: 1588164 (Python Code)

Max Activating Token Index: 189

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