Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1557 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0801. Min Act: -0.0003

Data Index: 128981 (C4 (Web Text))

Max Activating Token Index: 846

Text #1

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Max Act: 0.0720. Min Act: -0.0004

Data Index: 772012 (C4 (Web Text))

Max Activating Token Index: 355

Text #2

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Max Act: 0.0714. Min Act: -0.0002

Data Index: 478148 (C4 (Web Text))

Max Activating Token Index: 188

Text #3

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Max Act: 0.0682. Min Act: -0.0003

Data Index: 917740 (C4 (Web Text))

Max Activating Token Index: 740

Text #4

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Data Index: 670148 (C4 (Web Text))

Max Activating Token Index: 764

Text #5

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Data Index: 268286 (C4 (Web Text))

Max Activating Token Index: 328

Text #6

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Max Activating Token Index: 803

Text #7

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Data Index: 1066792 (C4 (Web Text))

Max Activating Token Index: 504

Text #8

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Max Activating Token Index: 446

Text #9

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Max Activating Token Index: 877

Text #10

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Max Activating Token Index: 813

Text #11

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Max Activating Token Index: 813

Text #12

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Data Index: 30195 (C4 (Web Text))

Max Activating Token Index: 191

Text #13

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Data Index: 546352 (C4 (Web Text))

Max Activating Token Index: 830

Text #14

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Max Activating Token Index: 694

Text #15

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Max Activating Token Index: 311

Text #16

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Max Activating Token Index: 500

Text #17

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Max Activating Token Index: 228

Text #18

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Max Activating Token Index: 213

Text #19

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Data Index: 871746 (C4 (Web Text))

Max Activating Token Index: 995