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

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

Neuron 833 in Layer 0

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

Text #0

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Max Act: 0.0298. Min Act: -0.0004

Data Index: 224608 (C4 (Web Text))

Max Activating Token Index: 14

Text #1

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Data Index: 1095252 (C4 (Web Text))

Max Activating Token Index: 927

Text #2

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Data Index: 1225210 (C4 (Web Text))

Max Activating Token Index: 908

Text #3

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Max Act: 0.0200. Min Act: -0.0004

Data Index: 827985 (C4 (Web Text))

Max Activating Token Index: 914

Text #4

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Max Act: 0.0189. Min Act: -0.0004

Data Index: 198636 (C4 (Web Text))

Max Activating Token Index: 17

Text #5

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Data Index: 53280 (C4 (Web Text))

Max Activating Token Index: 181

Text #6

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Max Activating Token Index: 823

Text #7

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Text #8

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Max Activating Token Index: 340

Text #9

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Data Index: 22400 (C4 (Web Text))

Max Activating Token Index: 136

Text #10

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Data Index: 1303133 (C4 (Web Text))

Max Activating Token Index: 64

Text #11

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Data Index: 861614 (C4 (Web Text))

Max Activating Token Index: 63

Text #12

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Max Activating Token Index: 153

Text #13

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Data Index: 201537 (C4 (Web Text))

Max Activating Token Index: 863

Text #14

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Data Index: 692804 (C4 (Web Text))

Max Activating Token Index: 332

Text #15

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Text #16

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Text #17

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Text #18

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Data Index: 716718 (C4 (Web Text))

Max Activating Token Index: 375

Text #19

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Data Index: 250438 (C4 (Web Text))

Max Activating Token Index: 795