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

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

Neuron 200 in Layer 0

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

Text #0

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Max Act: 0.0266. Min Act: -0.0002

Data Index: 129092 (C4 (Web Text))

Max Activating Token Index: 962

Text #1

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Data Index: 392026 (C4 (Web Text))

Max Activating Token Index: 360

Text #2

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Data Index: 678081 (C4 (Web Text))

Max Activating Token Index: 416

Text #3

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Data Index: 926237 (C4 (Web Text))

Max Activating Token Index: 975

Text #4

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Data Index: 744542 (C4 (Web Text))

Max Activating Token Index: 147

Text #5

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Data Index: 303690 (C4 (Web Text))

Max Activating Token Index: 136

Text #6

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Data Index: 508443 (C4 (Web Text))

Max Activating Token Index: 246

Text #7

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Max Activating Token Index: 53

Text #8

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Max Activating Token Index: 507

Text #9

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Max Activating Token Index: 60

Text #10

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Max Activating Token Index: 869

Text #11

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Max Activating Token Index: 275

Text #12

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Max Activating Token Index: 191

Text #13

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Max Activating Token Index: 180

Text #14

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Max Activating Token Index: 91

Text #15

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Max Activating Token Index: 512

Text #16

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Text #17

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Max Activating Token Index: 275

Text #18

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Max Activating Token Index: 353

Text #19

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Data Index: 754799 (C4 (Web Text))

Max Activating Token Index: 770