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

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

Neuron 1781 in Layer 1

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

Text #0

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Max Act: 0.0416. Min Act: -0.0003

Data Index: 142225 (C4 (Web Text))

Max Activating Token Index: 839

Text #1

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Data Index: 1006234 (C4 (Web Text))

Max Activating Token Index: 748

Text #2

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Max Act: 0.0374. Min Act: -0.0003

Data Index: 81352 (C4 (Web Text))

Max Activating Token Index: 248

Text #3

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Max Act: 0.0394. Min Act: -0.0003

Data Index: 173778 (C4 (Web Text))

Max Activating Token Index: 853

Text #4

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Max Act: 0.0385. Min Act: -0.0003

Data Index: 556350 (C4 (Web Text))

Max Activating Token Index: 320

Text #5

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Data Index: 1100841 (C4 (Web Text))

Max Activating Token Index: 118

Text #6

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Max Activating Token Index: 948

Text #7

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Max Activating Token Index: 557

Text #8

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Text #9

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Max Activating Token Index: 199

Text #10

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Data Index: 782636 (C4 (Web Text))

Max Activating Token Index: 371

Text #11

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Max Activating Token Index: 214

Text #12

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Max Activating Token Index: 980

Text #13

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Max Activating Token Index: 339

Text #14

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Text #15

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Max Activating Token Index: 341

Text #16

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Text #17

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Text #18

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Max Activating Token Index: 599

Text #19

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Data Index: 13219 (C4 (Web Text))

Max Activating Token Index: 213