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

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

Neuron 2475 in Layer 0

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

Text #0

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Max Act: 0.0170. Min Act: -0.0002

Data Index: 1078264 (C4 (Web Text))

Max Activating Token Index: 17

Text #1

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Max Act: 0.0156. Min Act: -0.0002

Data Index: 952556 (C4 (Web Text))

Max Activating Token Index: 935

Text #2

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Max Act: 0.0156. Min Act: -0.0002

Data Index: 268742 (C4 (Web Text))

Max Activating Token Index: 899

Text #3

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Max Act: 0.0155. Min Act: -0.0002

Data Index: 717045 (C4 (Web Text))

Max Activating Token Index: 785

Text #4

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Max Act: 0.0151. Min Act: -0.0002

Data Index: 423501 (C4 (Web Text))

Max Activating Token Index: 50

Text #5

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Max Act: 0.0151. Min Act: -0.0002

Data Index: 588990 (C4 (Web Text))

Max Activating Token Index: 117

Text #6

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Data Index: 2549 (C4 (Web Text))

Max Activating Token Index: 276

Text #7

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Max Activating Token Index: 240

Text #8

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Max Activating Token Index: 355

Text #9

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Max Activating Token Index: 880

Text #10

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Max Activating Token Index: 990

Text #11

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Max Activating Token Index: 810

Text #12

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Max Activating Token Index: 808

Text #13

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Data Index: 591815 (C4 (Web Text))

Max Activating Token Index: 869

Text #14

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Data Index: 190777 (C4 (Web Text))

Max Activating Token Index: 227

Text #15

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Max Activating Token Index: 29

Text #16

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Max Activating Token Index: 120

Text #17

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Max Activating Token Index: 300

Text #18

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Max Activating Token Index: 187

Text #19

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Data Index: 804097 (C4 (Web Text))

Max Activating Token Index: 82