Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 4231 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0481. Min Act: -0.0002

Data Index: 1177375 (C4 (Web Text))

Max Activating Token Index: 249

Text #1

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Max Act: 0.0440. Min Act: -0.0001

Data Index: 200556 (C4 (Web Text))

Max Activating Token Index: 562

Text #2

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Max Act: 0.0435. Min Act: -0.0001

Data Index: 43097 (C4 (Web Text))

Max Activating Token Index: 942

Text #3

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Max Act: 0.0435. Min Act: -0.0001

Data Index: 638537 (C4 (Web Text))

Max Activating Token Index: 969

Text #4

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Max Act: 0.0417. Min Act: -0.0002

Data Index: 988182 (C4 (Web Text))

Max Activating Token Index: 392

Text #5

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Max Act: 0.0406. Min Act: -0.0002

Data Index: 399725 (C4 (Web Text))

Max Activating Token Index: 544

Text #6

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Data Index: 649092 (C4 (Web Text))

Max Activating Token Index: 860

Text #7

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Max Activating Token Index: 836

Text #8

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Max Activating Token Index: 364

Text #9

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Data Index: 1005093 (C4 (Web Text))

Max Activating Token Index: 79

Text #10

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Data Index: 959938 (C4 (Web Text))

Max Activating Token Index: 999

Text #11

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Data Index: 107850 (C4 (Web Text))

Max Activating Token Index: 301

Text #12

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Data Index: 172235 (C4 (Web Text))

Max Activating Token Index: 900

Text #13

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Max Activating Token Index: 789

Text #14

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Data Index: 1189632 (C4 (Web Text))

Max Activating Token Index: 800

Text #15

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Max Activating Token Index: 250

Text #16

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Max Activating Token Index: 706

Text #17

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Data Index: 957030 (C4 (Web Text))

Max Activating Token Index: 516

Text #18

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Max Activating Token Index: 916

Text #19

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Data Index: 1038602 (C4 (Web Text))

Max Activating Token Index: 577