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

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

Neuron 4290 in Layer 5

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

Text #0

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Data Index: 104814 (C4 (Web Text))

Max Activating Token Index: 1005

Text #1

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Max Activating Token Index: 637

Text #2

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Max Act: 1.0855. Min Act: -0.0001

Data Index: 251885 (C4 (Web Text))

Max Activating Token Index: 63

Text #3

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Max Act: 1.0358. Min Act: -0.0000

Data Index: 911204 (C4 (Web Text))

Max Activating Token Index: 182

Text #4

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Data Index: 1482026 (Python Code)

Max Activating Token Index: 916

Text #5

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Data Index: 1353839 (C4 (Web Text))

Max Activating Token Index: 694

Text #6

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Max Activating Token Index: 46

Text #7

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Max Activating Token Index: 352

Text #8

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Data Index: 397656 (C4 (Web Text))

Max Activating Token Index: 836

Text #9

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Data Index: 148933 (C4 (Web Text))

Max Activating Token Index: 602

Text #10

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Max Activating Token Index: 894

Text #11

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Data Index: 97642 (C4 (Web Text))

Max Activating Token Index: 575

Text #12

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Data Index: 636090 (C4 (Web Text))

Max Activating Token Index: 227

Text #13

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Data Index: 1081540 (C4 (Web Text))

Max Activating Token Index: 697

Text #14

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Data Index: 634119 (C4 (Web Text))

Max Activating Token Index: 827

Text #15

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Max Activating Token Index: 229

Text #16

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Max Activating Token Index: 172

Text #17

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Data Index: 847190 (C4 (Web Text))

Max Activating Token Index: 88

Text #18

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Data Index: 121703 (C4 (Web Text))

Max Activating Token Index: 112

Text #19

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Max Act: 0.8075. Min Act: -0.0000

Data Index: 850530 (C4 (Web Text))

Max Activating Token Index: 784