Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 3998 in Layer 9

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

Max Range: 0.3226. Min Range: -0.3226

Max Act: 0.3151. Min Act: -0.0001

Data Index: 1596981 (Python Code)

Max Activating Token Index: 186

Text #1

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Max Act: 0.2809. Min Act: -0.0001

Data Index: 1486307 (Python Code)

Max Activating Token Index: 411

Text #2

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Max Act: 0.2907. Min Act: -0.0001

Data Index: 1395008 (Python Code)

Max Activating Token Index: 195

Text #3

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Max Act: 0.3010. Min Act: -0.0001

Data Index: 1382854 (Python Code)

Max Activating Token Index: 468

Text #4

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Max Act: 0.2927. Min Act: -0.0001

Data Index: 1562957 (Python Code)

Max Activating Token Index: 332

Text #5

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Max Act: 0.3226. Min Act: -0.0001

Data Index: 1423053 (Python Code)

Max Activating Token Index: 468

Text #6

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Data Index: 1495788 (Python Code)

Max Activating Token Index: 395

Text #7

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Data Index: 1611762 (Python Code)

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Text #8

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Data Index: 1456231 (Python Code)

Max Activating Token Index: 223

Text #9

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Data Index: 1387765 (Python Code)

Max Activating Token Index: 536

Text #10

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Max Act: 0.2805. Min Act: -0.0001

Data Index: 1535516 (Python Code)

Max Activating Token Index: 243

Text #11

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Data Index: 1406118 (Python Code)

Max Activating Token Index: 777

Text #12

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Data Index: 787742 (C4 (Web Text))

Max Activating Token Index: 158

Text #13

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Data Index: 1404030 (Python Code)

Max Activating Token Index: 59

Text #14

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Data Index: 1493937 (Python Code)

Max Activating Token Index: 368

Text #15

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Data Index: 1517535 (Python Code)

Max Activating Token Index: 449

Text #16

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Data Index: 1402824 (Python Code)

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Text #17

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Data Index: 1506106 (Python Code)

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Text #18

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Data Index: 1435921 (Python Code)

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Text #19

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Data Index: 1573186 (Python Code)

Max Activating Token Index: 631