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

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

Neuron 378 in Layer 0

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

Text #0

Max Range: 0.0168. Min Range: -0.0168

Max Act: 0.0168. Min Act: -0.0006

Data Index: 1408592 (Python Code)

Max Activating Token Index: 28

Text #1

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Max Act: 0.0168. Min Act: -0.0006

Data Index: 828333 (C4 (Web Text))

Max Activating Token Index: 193

Text #2

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Max Act: 0.0159. Min Act: -0.0006

Data Index: 1641576 (Python Code)

Max Activating Token Index: 721

Text #3

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Max Act: 0.0156. Min Act: -0.0006

Data Index: 1653772 (Python Code)

Max Activating Token Index: 1022

Text #4

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Max Act: 0.0156. Min Act: -0.0006

Data Index: 1629115 (Python Code)

Max Activating Token Index: 310

Text #5

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Max Act: 0.0152. Min Act: -0.0005

Data Index: 1545287 (Python Code)

Max Activating Token Index: 954

Text #6

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Data Index: 1655362 (Python Code)

Max Activating Token Index: 23

Text #7

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Data Index: 1416855 (Python Code)

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Text #8

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Data Index: 1465161 (Python Code)

Max Activating Token Index: 668

Text #9

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Data Index: 688071 (C4 (Web Text))

Max Activating Token Index: 951

Text #10

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Data Index: 1406416 (Python Code)

Max Activating Token Index: 490

Text #11

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Data Index: 1613845 (Python Code)

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Text #12

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Data Index: 1580492 (Python Code)

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Text #13

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Data Index: 1584307 (Python Code)

Max Activating Token Index: 111

Text #14

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Data Index: 734955 (C4 (Web Text))

Max Activating Token Index: 420

Text #15

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Data Index: 1455368 (Python Code)

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Text #16

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Data Index: 1370438 (Python Code)

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Text #17

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Data Index: 1611591 (Python Code)

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Text #18

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Data Index: 1502148 (Python Code)

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Text #19

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Max Act: 0.0139. Min Act: -0.0006

Data Index: 1461398 (Python Code)

Max Activating Token Index: 189