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

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

Neuron 1570 in Layer 0

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

Text #0

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Max Act: 0.0077. Min Act: -0.0004

Data Index: 1256368 (C4 (Web Text))

Max Activating Token Index: 394

Text #1

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Max Act: 0.0075. Min Act: -0.0004

Data Index: 246857 (C4 (Web Text))

Max Activating Token Index: 275

Text #2

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Max Act: 0.0074. Min Act: -0.0004

Data Index: 1096621 (C4 (Web Text))

Max Activating Token Index: 782

Text #3

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Max Act: 0.0074. Min Act: -0.0004

Data Index: 389796 (C4 (Web Text))

Max Activating Token Index: 46

Text #4

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Max Act: 0.0073. Min Act: -0.0004

Data Index: 1310294 (C4 (Web Text))

Max Activating Token Index: 72

Text #5

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Max Act: 0.0072. Min Act: -0.0004

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Max Activating Token Index: 460

Text #6

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Max Activating Token Index: 129

Text #7

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Max Activating Token Index: 270

Text #8

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Max Activating Token Index: 723

Text #9

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Max Activating Token Index: 75

Text #10

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Max Activating Token Index: 65

Text #11

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Max Activating Token Index: 542

Text #12

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Max Activating Token Index: 386

Text #13

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Max Activating Token Index: 608

Text #14

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Max Activating Token Index: 860

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 640

Text #18

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Data Index: 421997 (C4 (Web Text))

Max Activating Token Index: 452

Text #19

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Max Act: 0.0071. Min Act: -0.0004

Data Index: 318150 (C4 (Web Text))

Max Activating Token Index: 623