Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 2878 in Layer 3

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')

Text #0

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Max Act: 0.0333. Min Act: -0.0001

Data Index: 362259 (C4 (Web Text))

Max Activating Token Index: 395

Text #1

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Max Act: 0.0289. Min Act: -0.0001

Data Index: 521698 (C4 (Web Text))

Max Activating Token Index: 403

Text #2

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Max Act: 0.0298. Min Act: -0.0001

Data Index: 44826 (C4 (Web Text))

Max Activating Token Index: 377

Text #3

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Max Act: 0.0286. Min Act: -0.0001

Data Index: 130802 (C4 (Web Text))

Max Activating Token Index: 987

Text #4

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Max Act: 0.0294. Min Act: -0.0001

Data Index: 1042012 (C4 (Web Text))

Max Activating Token Index: 73

Text #5

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Max Act: 0.0286. Min Act: -0.0001

Data Index: 118577 (C4 (Web Text))

Max Activating Token Index: 859

Text #6

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Max Activating Token Index: 732

Text #7

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Max Activating Token Index: 602

Text #8

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Max Activating Token Index: 341

Text #9

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Text #10

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Max Activating Token Index: 889

Text #11

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Max Activating Token Index: 995

Text #12

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Data Index: 731288 (C4 (Web Text))

Max Activating Token Index: 616

Text #13

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Data Index: 1365577 (Python Code)

Max Activating Token Index: 506

Text #14

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Data Index: 1570403 (Python Code)

Max Activating Token Index: 497

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 570

Text #18

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Data Index: 1622014 (Python Code)

Max Activating Token Index: 500

Text #19

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Max Act: 0.0246. Min Act: -0.0001

Data Index: 1062338 (C4 (Web Text))

Max Activating Token Index: 926