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

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

Neuron 478 in Layer 1

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

Text #0

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Max Act: 0.0561. Min Act: -0.0002

Data Index: 1292742 (C4 (Web Text))

Max Activating Token Index: 86

Text #1

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Data Index: 158571 (C4 (Web Text))

Max Activating Token Index: 712

Text #2

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Max Activating Token Index: 1003

Text #3

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Max Act: 0.0478. Min Act: -0.0004

Data Index: 1136713 (C4 (Web Text))

Max Activating Token Index: 464

Text #4

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Data Index: 219399 (C4 (Web Text))

Max Activating Token Index: 485

Text #5

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Max Activating Token Index: 14

Text #6

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Max Activating Token Index: 675

Text #7

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Max Activating Token Index: 243

Text #8

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Max Activating Token Index: 867

Text #9

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Max Activating Token Index: 999

Text #10

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Text #11

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Max Activating Token Index: 980

Text #12

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Max Activating Token Index: 121

Text #13

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Max Activating Token Index: 146

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 652

Text #17

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Max Activating Token Index: 958

Text #18

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Max Activating Token Index: 401

Text #19

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Data Index: 220294 (C4 (Web Text))

Max Activating Token Index: 354