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

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

Neuron 3327 in Layer 1

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

Text #0

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Max Act: 0.0790. Min Act: -0.0003

Data Index: 668884 (C4 (Web Text))

Max Activating Token Index: 892

Text #1

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Data Index: 449855 (C4 (Web Text))

Max Activating Token Index: 393

Text #2

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Max Act: 0.0731. Min Act: -0.0003

Data Index: 349928 (C4 (Web Text))

Max Activating Token Index: 409

Text #3

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Max Act: 0.0656. Min Act: -0.0003

Data Index: 1182825 (C4 (Web Text))

Max Activating Token Index: 96

Text #4

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Data Index: 1323632 (C4 (Web Text))

Max Activating Token Index: 407

Text #5

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Data Index: 168876 (C4 (Web Text))

Max Activating Token Index: 316

Text #6

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Max Activating Token Index: 741

Text #7

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Max Activating Token Index: 338

Text #8

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Max Activating Token Index: 230

Text #9

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Max Activating Token Index: 163

Text #10

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Max Activating Token Index: 390

Text #11

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Max Activating Token Index: 589

Text #12

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Max Activating Token Index: 684

Text #13

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Max Activating Token Index: 529

Text #14

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Max Activating Token Index: 258

Text #15

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Max Activating Token Index: 741

Text #16

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Max Activating Token Index: 429

Text #17

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Max Activating Token Index: 560

Text #18

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Max Activating Token Index: 192

Text #19

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Data Index: 764204 (C4 (Web Text))

Max Activating Token Index: 496