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

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

Neuron 3225 in Layer 0

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

Text #0

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Max Act: 0.0148. Min Act: -0.0002

Data Index: 922532 (C4 (Web Text))

Max Activating Token Index: 120

Text #1

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Max Act: 0.0147. Min Act: -0.0002

Data Index: 1080100 (C4 (Web Text))

Max Activating Token Index: 49

Text #2

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Max Act: 0.0145. Min Act: -0.0002

Data Index: 1254419 (C4 (Web Text))

Max Activating Token Index: 277

Text #3

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Max Act: 0.0144. Min Act: -0.0002

Data Index: 1087612 (C4 (Web Text))

Max Activating Token Index: 690

Text #4

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Max Act: 0.0143. Min Act: -0.0002

Data Index: 960012 (C4 (Web Text))

Max Activating Token Index: 127

Text #5

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Data Index: 720740 (C4 (Web Text))

Max Activating Token Index: 164

Text #6

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Max Activating Token Index: 115

Text #7

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Data Index: 400042 (C4 (Web Text))

Max Activating Token Index: 182

Text #8

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Max Activating Token Index: 741

Text #9

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Max Activating Token Index: 498

Text #10

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Max Activating Token Index: 147

Text #11

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Data Index: 58731 (C4 (Web Text))

Max Activating Token Index: 486

Text #12

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Max Activating Token Index: 226

Text #13

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Data Index: 290255 (C4 (Web Text))

Max Activating Token Index: 453

Text #14

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Max Activating Token Index: 562

Text #15

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Max Activating Token Index: 191

Text #16

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Max Activating Token Index: 573

Text #17

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Max Activating Token Index: 237

Text #18

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Data Index: 540304 (C4 (Web Text))

Max Activating Token Index: 567

Text #19

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Data Index: 1036471 (C4 (Web Text))

Max Activating Token Index: 68