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

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

Neuron 655 in Layer 0

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

Text #0

Max Range: 0.0042. Min Range: -0.0042

Max Act: 0.0042. Min Act: -0.0006

Data Index: 1183449 (C4 (Web Text))

Max Activating Token Index: 918

Text #1

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Max Act: 0.0040. Min Act: -0.0005

Data Index: 1581518 (Python Code)

Max Activating Token Index: 71

Text #2

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Max Act: 0.0040. Min Act: -0.0006

Data Index: 1445141 (Python Code)

Max Activating Token Index: 761

Text #3

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Max Act: 0.0040. Min Act: -0.0006

Data Index: 182102 (C4 (Web Text))

Max Activating Token Index: 903

Text #4

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Max Act: 0.0039. Min Act: -0.0005

Data Index: 1528370 (Python Code)

Max Activating Token Index: 684

Text #5

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Max Act: 0.0040. Min Act: -0.0006

Data Index: 88042 (C4 (Web Text))

Max Activating Token Index: 307

Text #6

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Max Act: 0.0039. Min Act: -0.0005

Data Index: 1489462 (Python Code)

Max Activating Token Index: 901

Text #7

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Data Index: 1518161 (Python Code)

Max Activating Token Index: 662

Text #8

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Data Index: 1560891 (Python Code)

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Text #9

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Data Index: 1407870 (Python Code)

Max Activating Token Index: 750

Text #10

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Data Index: 1634817 (Python Code)

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Text #11

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Data Index: 1504292 (Python Code)

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Text #12

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Data Index: 1362337 (Python Code)

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Text #13

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Data Index: 1387893 (Python Code)

Max Activating Token Index: 862

Text #14

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Data Index: 1402375 (Python Code)

Max Activating Token Index: 493

Text #15

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Data Index: 1567381 (Python Code)

Max Activating Token Index: 431

Text #16

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Data Index: 1303159 (C4 (Web Text))

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Text #17

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Data Index: 1093207 (C4 (Web Text))

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Text #18

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Data Index: 1576911 (Python Code)

Max Activating Token Index: 220

Text #19

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Max Act: 0.0037. Min Act: -0.0006

Data Index: 1594164 (Python Code)

Max Activating Token Index: 901