Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1092 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0184. Min Act: -0.0006

Data Index: 1335253 (C4 (Web Text))

Max Activating Token Index: 78

Text #1

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Max Act: 0.0180. Min Act: -0.0005

Data Index: 103320 (C4 (Web Text))

Max Activating Token Index: 2

Text #2

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Max Act: 0.0180. Min Act: -0.0006

Data Index: 851013 (C4 (Web Text))

Max Activating Token Index: 762

Text #3

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Max Act: 0.0172. Min Act: -0.0006

Data Index: 1160578 (C4 (Web Text))

Max Activating Token Index: 734

Text #4

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Max Act: 0.0167. Min Act: -0.0006

Data Index: 463952 (C4 (Web Text))

Max Activating Token Index: 80

Text #5

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Data Index: 1178593 (C4 (Web Text))

Max Activating Token Index: 471

Text #6

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Data Index: 19105 (C4 (Web Text))

Max Activating Token Index: 770

Text #7

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Text #8

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Max Activating Token Index: 394

Text #9

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Max Activating Token Index: 993

Text #10

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Text #11

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Max Activating Token Index: 637

Text #12

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Max Activating Token Index: 872

Text #13

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Data Index: 45319 (C4 (Web Text))

Max Activating Token Index: 546

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 578

Text #18

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Max Activating Token Index: 611

Text #19

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Data Index: 266439 (C4 (Web Text))

Max Activating Token Index: 54