Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1761 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0137. Min Act: -0.0006

Data Index: 236250 (C4 (Web Text))

Max Activating Token Index: 35

Text #1

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Max Act: 0.0129. Min Act: -0.0006

Data Index: 367931 (C4 (Web Text))

Max Activating Token Index: 680

Text #2

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Max Act: 0.0135. Min Act: -0.0006

Data Index: 678272 (C4 (Web Text))

Max Activating Token Index: 586

Text #3

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Max Act: 0.0129. Min Act: -0.0006

Data Index: 720965 (C4 (Web Text))

Max Activating Token Index: 802

Text #4

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Data Index: 1268697 (C4 (Web Text))

Max Activating Token Index: 638

Text #5

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Data Index: 441223 (C4 (Web Text))

Max Activating Token Index: 798

Text #6

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Data Index: 521119 (C4 (Web Text))

Max Activating Token Index: 615

Text #7

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Data Index: 926537 (C4 (Web Text))

Max Activating Token Index: 409

Text #8

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Max Activating Token Index: 272

Text #9

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Data Index: 975851 (C4 (Web Text))

Max Activating Token Index: 897

Text #10

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Data Index: 47213 (C4 (Web Text))

Max Activating Token Index: 445

Text #11

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Max Activating Token Index: 827

Text #12

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Max Activating Token Index: 970

Text #13

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Data Index: 237041 (C4 (Web Text))

Max Activating Token Index: 701

Text #14

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Data Index: 339306 (C4 (Web Text))

Max Activating Token Index: 692

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 90

Text #18

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Data Index: 657885 (C4 (Web Text))

Max Activating Token Index: 511

Text #19

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Data Index: 99809 (C4 (Web Text))

Max Activating Token Index: 302