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

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

Neuron 1560 in Layer 1

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

Text #0

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Max Act: 0.0319. Min Act: -0.0004

Data Index: 701635 (C4 (Web Text))

Max Activating Token Index: 705

Text #1

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Max Activating Token Index: 952

Text #2

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Max Act: 0.0291. Min Act: -0.0003

Data Index: 442108 (C4 (Web Text))

Max Activating Token Index: 171

Text #3

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Max Act: 0.0280. Min Act: -0.0003

Data Index: 1350975 (C4 (Web Text))

Max Activating Token Index: 19

Text #4

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Data Index: 492615 (C4 (Web Text))

Max Activating Token Index: 869

Text #5

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Max Activating Token Index: 418

Text #6

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Max Activating Token Index: 605

Text #7

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Text #8

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Text #9

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Max Activating Token Index: 104

Text #10

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Text #11

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Max Activating Token Index: 895

Text #12

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Max Activating Token Index: 510

Text #13

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Max Activating Token Index: 521

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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Max Activating Token Index: 246

Text #19

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Data Index: 1279837 (C4 (Web Text))

Max Activating Token Index: 855