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

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

Neuron 5026 in Layer 2

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

Text #0

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Max Act: 0.0683. Min Act: -0.0002

Data Index: 443466 (C4 (Web Text))

Max Activating Token Index: 558

Text #1

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Data Index: 859085 (C4 (Web Text))

Max Activating Token Index: 165

Text #2

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Max Act: 0.0624. Min Act: -0.0002

Data Index: 111230 (C4 (Web Text))

Max Activating Token Index: 329

Text #3

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Max Act: 0.0641. Min Act: -0.0002

Data Index: 481886 (C4 (Web Text))

Max Activating Token Index: 88

Text #4

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Max Act: 0.0666. Min Act: -0.0002

Data Index: 313231 (C4 (Web Text))

Max Activating Token Index: 1019

Text #5

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Data Index: 593488 (C4 (Web Text))

Max Activating Token Index: 716

Text #6

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Data Index: 226461 (C4 (Web Text))

Max Activating Token Index: 128

Text #7

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Data Index: 455432 (C4 (Web Text))

Max Activating Token Index: 281

Text #8

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Data Index: 468019 (C4 (Web Text))

Max Activating Token Index: 148

Text #9

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Max Activating Token Index: 30

Text #10

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Max Activating Token Index: 182

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Max Activating Token Index: 489

Text #12

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Max Activating Token Index: 145

Text #13

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Max Activating Token Index: 665

Text #14

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Data Index: 707894 (C4 (Web Text))

Max Activating Token Index: 689

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 504

Text #18

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Max Activating Token Index: 218

Text #19

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Data Index: 15465 (C4 (Web Text))

Max Activating Token Index: 182