Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 48 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

Max Range: 0.0207. Min Range: -0.0207

Max Act: 0.0207. Min Act: -0.0005

Data Index: 1635114 (Python Code)

Max Activating Token Index: 675

Text #1

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Max Act: 0.0197. Min Act: -0.0005

Data Index: 1374773 (Python Code)

Max Activating Token Index: 148

Text #2

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Max Act: 0.0197. Min Act: -0.0005

Data Index: 1447019 (Python Code)

Max Activating Token Index: 870

Text #3

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Max Act: 0.0193. Min Act: -0.0005

Data Index: 1376658 (Python Code)

Max Activating Token Index: 88

Text #4

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Max Act: 0.0192. Min Act: -0.0006

Data Index: 1592633 (Python Code)

Max Activating Token Index: 295

Text #5

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Max Act: 0.0191. Min Act: -0.0005

Data Index: 1537737 (Python Code)

Max Activating Token Index: 78

Text #6

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Data Index: 1417324 (Python Code)

Max Activating Token Index: 138

Text #7

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Data Index: 1521744 (Python Code)

Max Activating Token Index: 206

Text #8

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Data Index: 1544710 (Python Code)

Max Activating Token Index: 40

Text #9

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Max Act: 0.0185. Min Act: -0.0004

Data Index: 558918 (C4 (Web Text))

Max Activating Token Index: 630

Text #10

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Max Act: 0.0185. Min Act: -0.0005

Data Index: 1382991 (Python Code)

Max Activating Token Index: 918

Text #11

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Data Index: 1450881 (Python Code)

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Text #12

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Data Index: 1460885 (Python Code)

Max Activating Token Index: 275

Text #13

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Data Index: 1040774 (C4 (Web Text))

Max Activating Token Index: 939

Text #14

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Data Index: 124991 (C4 (Web Text))

Max Activating Token Index: 857

Text #15

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Data Index: 1429621 (Python Code)

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Text #16

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Data Index: 1534436 (Python Code)

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Text #17

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Data Index: 1578393 (Python Code)

Max Activating Token Index: 498

Text #18

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Data Index: 1605000 (Python Code)

Max Activating Token Index: 1015

Text #19

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Max Act: 0.0178. Min Act: -0.0005

Data Index: 1501988 (Python Code)

Max Activating Token Index: 37