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

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

Neuron 676 in Layer 0

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

Text #0

Max Range: 0.0085. Min Range: -0.0085

Max Act: 0.0085. Min Act: -0.0005

Data Index: 1384626 (Python Code)

Max Activating Token Index: 791

Text #1

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Max Act: 0.0083. Min Act: -0.0006

Data Index: 1023709 (C4 (Web Text))

Max Activating Token Index: 922

Text #2

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Max Act: 0.0082. Min Act: -0.0006

Data Index: 968318 (C4 (Web Text))

Max Activating Token Index: 313

Text #3

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Max Act: 0.0077. Min Act: -0.0006

Data Index: 1571998 (Python Code)

Max Activating Token Index: 389

Text #4

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Max Act: 0.0076. Min Act: -0.0006

Data Index: 1578331 (Python Code)

Max Activating Token Index: 191

Text #5

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Max Act: 0.0076. Min Act: -0.0005

Data Index: 1641415 (Python Code)

Max Activating Token Index: 818

Text #6

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Data Index: 1413975 (Python Code)

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Text #7

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Data Index: 1614929 (Python Code)

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Text #8

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Data Index: 1631445 (Python Code)

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Text #9

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Data Index: 1545069 (Python Code)

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Text #10

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Data Index: 214697 (C4 (Web Text))

Max Activating Token Index: 246

Text #11

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Data Index: 1543986 (Python Code)

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Text #12

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Text #13

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Data Index: 1612084 (Python Code)

Max Activating Token Index: 596

Text #14

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Data Index: 1370437 (Python Code)

Max Activating Token Index: 705

Text #15

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Text #16

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Text #17

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Data Index: 1599289 (Python Code)

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Text #18

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Data Index: 1620384 (Python Code)

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Text #19

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Data Index: 1584244 (Python Code)

Max Activating Token Index: 621