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

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

Neuron 1264 in Layer 0

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

Text #0

Max Range: 0.0095. Min Range: -0.0095

Max Act: 0.0095. Min Act: -0.0006

Data Index: 1122356 (C4 (Web Text))

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0073. Min Act: -0.0005

Data Index: 1413145 (Python Code)

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0073. Min Act: -0.0006

Data Index: 1496927 (Python Code)

Max Activating Token Index: 320

Text #3

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Max Act: 0.0071. Min Act: -0.0006

Data Index: 1297071 (C4 (Web Text))

Max Activating Token Index: 1023

Text #4

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Max Act: 0.0072. Min Act: -0.0006

Data Index: 828835 (C4 (Web Text))

Max Activating Token Index: 921

Text #5

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Max Act: 0.0071. Min Act: -0.0006

Data Index: 1539414 (Python Code)

Max Activating Token Index: 725

Text #6

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Max Act: 0.0071. Min Act: -0.0006

Data Index: 1614572 (Python Code)

Max Activating Token Index: 602

Text #7

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Data Index: 1519590 (Python Code)

Max Activating Token Index: 25

Text #8

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Data Index: 465351 (C4 (Web Text))

Max Activating Token Index: 1023

Text #9

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Max Act: 0.0070. Min Act: -0.0005

Data Index: 1240972 (C4 (Web Text))

Max Activating Token Index: 1023

Text #10

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Data Index: 1548291 (Python Code)

Max Activating Token Index: 72

Text #11

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Data Index: 723727 (C4 (Web Text))

Max Activating Token Index: 280

Text #12

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Data Index: 1441144 (Python Code)

Max Activating Token Index: 362

Text #13

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Data Index: 999460 (C4 (Web Text))

Max Activating Token Index: 775

Text #14

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Data Index: 1556191 (Python Code)

Max Activating Token Index: 57

Text #15

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Data Index: 1498172 (Python Code)

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Text #16

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Data Index: 1420160 (Python Code)

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Text #17

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Data Index: 1573363 (Python Code)

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Text #18

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Data Index: 1531169 (Python Code)

Max Activating Token Index: 195

Text #19

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Max Act: 0.0067. Min Act: -0.0006

Data Index: 1460538 (Python Code)

Max Activating Token Index: 80