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

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

Neuron 1573 in Layer 0

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

Text #0

Max Range: 0.0317. Min Range: -0.0317

Max Act: 0.0317. Min Act: -0.0002

Data Index: 1474920 (Python Code)

Max Activating Token Index: 709

Text #1

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Max Act: 0.0297. Min Act: -0.0002

Data Index: 1370375 (Python Code)

Max Activating Token Index: 308

Text #2

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Max Act: 0.0285. Min Act: -0.0002

Data Index: 1641963 (Python Code)

Max Activating Token Index: 208

Text #3

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Max Act: 0.0296. Min Act: -0.0002

Data Index: 1538823 (Python Code)

Max Activating Token Index: 483

Text #4

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Max Act: 0.0296. Min Act: -0.0002

Data Index: 1517598 (Python Code)

Max Activating Token Index: 766

Text #5

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Max Act: 0.0291. Min Act: -0.0001

Data Index: 1532250 (Python Code)

Max Activating Token Index: 1003

Text #6

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Max Act: 0.0289. Min Act: -0.0002

Data Index: 1500055 (Python Code)

Max Activating Token Index: 10

Text #7

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Max Act: 0.0276. Min Act: -0.0002

Data Index: 1633030 (Python Code)

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Text #8

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Max Act: 0.0286. Min Act: -0.0002

Data Index: 1568878 (Python Code)

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Text #9

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Max Act: 0.0276. Min Act: -0.0002

Data Index: 1528156 (Python Code)

Max Activating Token Index: 684

Text #10

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Data Index: 1565507 (Python Code)

Max Activating Token Index: 301

Text #11

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Max Act: 0.0281. Min Act: -0.0002

Data Index: 1369270 (Python Code)

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Text #12

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Data Index: 1535152 (Python Code)

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Text #13

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Max Act: 0.0281. Min Act: -0.0002

Data Index: 1510004 (Python Code)

Max Activating Token Index: 548

Text #14

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Max Act: 0.0280. Min Act: -0.0002

Data Index: 1360512 (Python Code)

Max Activating Token Index: 659

Text #15

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Data Index: 1629547 (Python Code)

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Text #16

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Data Index: 1618162 (Python Code)

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Text #17

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Data Index: 1456459 (Python Code)

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Text #18

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Data Index: 1491735 (Python Code)

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Text #19

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Max Act: 0.0277. Min Act: -0.0002

Data Index: 1529745 (Python Code)

Max Activating Token Index: 711