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

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

Neuron 3749 in Layer 1

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

Text #0

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Max Act: 0.0336. Min Act: -0.0002

Data Index: 948679 (C4 (Web Text))

Max Activating Token Index: 60

Text #1

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Max Act: 0.0340. Min Act: -0.0003

Data Index: 1281778 (C4 (Web Text))

Max Activating Token Index: 900

Text #2

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Max Act: 0.0327. Min Act: -0.0002

Data Index: 631039 (C4 (Web Text))

Max Activating Token Index: 285

Text #3

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Max Act: 0.0280. Min Act: -0.0002

Data Index: 1059411 (C4 (Web Text))

Max Activating Token Index: 921

Text #4

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Data Index: 735546 (C4 (Web Text))

Max Activating Token Index: 848

Text #5

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Data Index: 978712 (C4 (Web Text))

Max Activating Token Index: 78

Text #6

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Data Index: 113506 (C4 (Web Text))

Max Activating Token Index: 240

Text #7

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Data Index: 1123014 (C4 (Web Text))

Max Activating Token Index: 168

Text #8

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Max Activating Token Index: 640

Text #9

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Max Activating Token Index: 603

Text #10

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Max Activating Token Index: 905

Text #11

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Data Index: 82289 (C4 (Web Text))

Max Activating Token Index: 72

Text #12

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Max Activating Token Index: 957

Text #13

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Data Index: 1168497 (C4 (Web Text))

Max Activating Token Index: 594

Text #14

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Max Activating Token Index: 846

Text #15

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Text #16

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Max Activating Token Index: 168

Text #17

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Max Activating Token Index: 473

Text #18

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Data Index: 242289 (C4 (Web Text))

Max Activating Token Index: 439

Text #19

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Data Index: 670706 (C4 (Web Text))

Max Activating Token Index: 180