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

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

Neuron 1630 in Layer 1

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

Text #0

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Max Act: 0.0365. Min Act: -0.0003

Data Index: 325105 (C4 (Web Text))

Max Activating Token Index: 632

Text #1

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Max Activating Token Index: 448

Text #2

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Max Act: 0.0322. Min Act: -0.0003

Data Index: 120386 (C4 (Web Text))

Max Activating Token Index: 384

Text #3

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Max Act: 0.0321. Min Act: -0.0003

Data Index: 1020593 (C4 (Web Text))

Max Activating Token Index: 29

Text #4

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Max Act: 0.0309. Min Act: -0.0003

Data Index: 1303373 (C4 (Web Text))

Max Activating Token Index: 30

Text #5

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Max Activating Token Index: 597

Text #6

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Max Activating Token Index: 22

Text #7

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Text #8

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Max Activating Token Index: 63

Text #9

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Max Activating Token Index: 521

Text #10

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Max Activating Token Index: 123

Text #11

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Max Activating Token Index: 503

Text #12

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Max Activating Token Index: 746

Text #13

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Max Activating Token Index: 403

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Text #19

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Data Index: 125089 (C4 (Web Text))

Max Activating Token Index: 435