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

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

Neuron 225 in Layer 0

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

Text #0

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Max Act: 0.0280. Min Act: -0.0004

Data Index: 641242 (C4 (Web Text))

Max Activating Token Index: 695

Text #1

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Max Activating Token Index: 159

Text #2

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Max Act: 0.0269. Min Act: -0.0005

Data Index: 1204226 (C4 (Web Text))

Max Activating Token Index: 737

Text #3

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Max Act: 0.0255. Min Act: -0.0004

Data Index: 1039642 (C4 (Web Text))

Max Activating Token Index: 40

Text #4

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Data Index: 1043983 (C4 (Web Text))

Max Activating Token Index: 11

Text #5

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Max Activating Token Index: 791

Text #6

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Data Index: 169777 (C4 (Web Text))

Max Activating Token Index: 21

Text #7

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Max Activating Token Index: 407

Text #8

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Max Activating Token Index: 16

Text #9

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Data Index: 819593 (C4 (Web Text))

Max Activating Token Index: 999

Text #10

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Max Activating Token Index: 23

Text #11

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Data Index: 742077 (C4 (Web Text))

Max Activating Token Index: 305

Text #12

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Data Index: 220572 (C4 (Web Text))

Max Activating Token Index: 401

Text #13

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Data Index: 636184 (C4 (Web Text))

Max Activating Token Index: 78

Text #14

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Data Index: 27766 (C4 (Web Text))

Max Activating Token Index: 3

Text #15

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Max Activating Token Index: 252

Text #16

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Max Activating Token Index: 451

Text #17

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Max Activating Token Index: 442

Text #18

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Max Activating Token Index: 559

Text #19

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Data Index: 1247318 (C4 (Web Text))

Max Activating Token Index: 611