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

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

Neuron 1019 in Layer 4

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

Text #0

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Max Act: 0.1709. Min Act: -0.0000

Data Index: 1384147 (Python Code)

Max Activating Token Index: 887

Text #1

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Max Act: 0.1482. Min Act: -0.0001

Data Index: 1430472 (Python Code)

Max Activating Token Index: 695

Text #2

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Max Act: 0.1339. Min Act: -0.0000

Data Index: 1430110 (Python Code)

Max Activating Token Index: 101

Text #3

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Max Act: 0.1257. Min Act: -0.0001

Data Index: 1373232 (Python Code)

Max Activating Token Index: 180

Text #4

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Max Act: 0.1199. Min Act: -0.0000

Data Index: 1494211 (Python Code)

Max Activating Token Index: 526

Text #5

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Max Act: 0.1245. Min Act: -0.0001

Data Index: 1392387 (Python Code)

Max Activating Token Index: 554

Text #6

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Data Index: 1537051 (Python Code)

Max Activating Token Index: 496

Text #7

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Max Act: 0.1189. Min Act: -0.0000

Data Index: 1497582 (Python Code)

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Text #8

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Data Index: 1400621 (Python Code)

Max Activating Token Index: 495

Text #9

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Data Index: 1571185 (Python Code)

Max Activating Token Index: 231

Text #10

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Data Index: 1491483 (Python Code)

Max Activating Token Index: 491

Text #11

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Data Index: 1371138 (Python Code)

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Text #12

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Data Index: 1485009 (Python Code)

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Text #13

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Data Index: 1652929 (Python Code)

Max Activating Token Index: 385

Text #14

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Data Index: 1568695 (Python Code)

Max Activating Token Index: 182

Text #15

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Data Index: 1452002 (Python Code)

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Text #16

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Data Index: 1415786 (Python Code)

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Text #17

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Data Index: 1413681 (Python Code)

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Text #18

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Max Act: 0.1107. Min Act: -0.0001

Data Index: 81246 (C4 (Web Text))

Max Activating Token Index: 481

Text #19

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Max Act: 0.1089. Min Act: -0.0000

Data Index: 1598704 (Python Code)

Max Activating Token Index: 383