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

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

Neuron 1238 in Layer 0

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

Text #0

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Max Act: 0.0208. Min Act: -0.0004

Data Index: 905037 (C4 (Web Text))

Max Activating Token Index: 909

Text #1

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Data Index: 1328788 (C4 (Web Text))

Max Activating Token Index: 13

Text #2

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Max Act: 0.0178. Min Act: -0.0004

Data Index: 1190583 (C4 (Web Text))

Max Activating Token Index: 474

Text #3

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Data Index: 652550 (C4 (Web Text))

Max Activating Token Index: 809

Text #4

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Data Index: 279653 (C4 (Web Text))

Max Activating Token Index: 840

Text #5

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Data Index: 656210 (C4 (Web Text))

Max Activating Token Index: 1019

Text #6

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Data Index: 877719 (C4 (Web Text))

Max Activating Token Index: 44

Text #7

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Max Activating Token Index: 273

Text #8

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Max Activating Token Index: 457

Text #9

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Data Index: 304267 (C4 (Web Text))

Max Activating Token Index: 310

Text #10

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Max Activating Token Index: 998

Text #11

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Data Index: 169761 (C4 (Web Text))

Max Activating Token Index: 826

Text #12

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Max Activating Token Index: 788

Text #13

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Data Index: 84837 (C4 (Web Text))

Max Activating Token Index: 1021

Text #14

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Data Index: 574003 (C4 (Web Text))

Max Activating Token Index: 849

Text #15

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Max Activating Token Index: 655

Text #16

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Max Activating Token Index: 484

Text #17

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Max Activating Token Index: 239

Text #18

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Data Index: 269596 (C4 (Web Text))

Max Activating Token Index: 321

Text #19

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Data Index: 304697 (C4 (Web Text))

Max Activating Token Index: 169