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

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

Neuron 2038 in Layer 9

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

Text #0

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Max Act: 0.2802. Min Act: -0.0000

Data Index: 1266092 (C4 (Web Text))

Max Activating Token Index: 247

Text #1

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Data Index: 1142357 (C4 (Web Text))

Max Activating Token Index: 804

Text #2

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Max Act: 0.2288. Min Act: -0.0000

Data Index: 285961 (C4 (Web Text))

Max Activating Token Index: 706

Text #3

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Max Act: 0.2117. Min Act: -0.0000

Data Index: 269864 (C4 (Web Text))

Max Activating Token Index: 259

Text #4

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Data Index: 333996 (C4 (Web Text))

Max Activating Token Index: 764

Text #5

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Data Index: 258848 (C4 (Web Text))

Max Activating Token Index: 997

Text #6

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Data Index: 902298 (C4 (Web Text))

Max Activating Token Index: 267

Text #7

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Max Activating Token Index: 534

Text #8

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Max Activating Token Index: 791

Text #9

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Data Index: 1198424 (C4 (Web Text))

Max Activating Token Index: 153

Text #10

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Data Index: 888494 (C4 (Web Text))

Max Activating Token Index: 171

Text #11

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Data Index: 1266574 (C4 (Web Text))

Max Activating Token Index: 115

Text #12

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Data Index: 1333813 (C4 (Web Text))

Max Activating Token Index: 640

Text #13

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Data Index: 750161 (C4 (Web Text))

Max Activating Token Index: 919

Text #14

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Data Index: 1208710 (C4 (Web Text))

Max Activating Token Index: 184

Text #15

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Text #16

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Max Activating Token Index: 310

Text #17

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Max Activating Token Index: 468

Text #18

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Data Index: 525139 (C4 (Web Text))

Max Activating Token Index: 737

Text #19

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Data Index: 259609 (C4 (Web Text))

Max Activating Token Index: 688