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

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

Neuron 3566 in Layer 2

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

Text #0

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Max Act: 0.0934. Min Act: -0.0002

Data Index: 559771 (C4 (Web Text))

Max Activating Token Index: 53

Text #1

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Max Act: 0.0816. Min Act: -0.0002

Data Index: 877330 (C4 (Web Text))

Max Activating Token Index: 125

Text #2

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Max Act: 0.0855. Min Act: -0.0002

Data Index: 371275 (C4 (Web Text))

Max Activating Token Index: 856

Text #3

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Max Act: 0.0794. Min Act: -0.0002

Data Index: 472906 (C4 (Web Text))

Max Activating Token Index: 604

Text #4

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Max Act: 0.0751. Min Act: -0.0002

Data Index: 798208 (C4 (Web Text))

Max Activating Token Index: 269

Text #5

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Max Act: 0.0641. Min Act: -0.0002

Data Index: 438696 (C4 (Web Text))

Max Activating Token Index: 621

Text #6

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Data Index: 165583 (C4 (Web Text))

Max Activating Token Index: 725

Text #7

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Data Index: 22156 (C4 (Web Text))

Max Activating Token Index: 896

Text #8

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Max Activating Token Index: 87

Text #9

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Max Activating Token Index: 998

Text #10

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Data Index: 275178 (C4 (Web Text))

Max Activating Token Index: 841

Text #11

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Data Index: 1143616 (C4 (Web Text))

Max Activating Token Index: 117

Text #12

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Max Activating Token Index: 978

Text #13

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Max Activating Token Index: 977

Text #14

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Max Activating Token Index: 131

Text #15

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Text #16

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Max Activating Token Index: 181

Text #17

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Max Activating Token Index: 372

Text #18

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Data Index: 989928 (C4 (Web Text))

Max Activating Token Index: 346

Text #19

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Data Index: 972600 (C4 (Web Text))

Max Activating Token Index: 965