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

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

Neuron 259 in Layer 1

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

Text #0

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Max Act: 0.0415. Min Act: -0.0003

Data Index: 649264 (C4 (Web Text))

Max Activating Token Index: 486

Text #1

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Max Act: 0.0390. Min Act: -0.0003

Data Index: 1152815 (C4 (Web Text))

Max Activating Token Index: 552

Text #2

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Max Act: 0.0393. Min Act: -0.0003

Data Index: 1175845 (C4 (Web Text))

Max Activating Token Index: 280

Text #3

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Max Act: 0.0379. Min Act: -0.0004

Data Index: 660033 (C4 (Web Text))

Max Activating Token Index: 656

Text #4

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Data Index: 996487 (C4 (Web Text))

Max Activating Token Index: 642

Text #5

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Data Index: 543134 (C4 (Web Text))

Max Activating Token Index: 520

Text #6

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Max Activating Token Index: 795

Text #7

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Max Activating Token Index: 166

Text #8

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Data Index: 844420 (C4 (Web Text))

Max Activating Token Index: 347

Text #9

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Max Activating Token Index: 811

Text #10

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Data Index: 1200684 (C4 (Web Text))

Max Activating Token Index: 643

Text #11

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Data Index: 1152821 (C4 (Web Text))

Max Activating Token Index: 34

Text #12

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Max Activating Token Index: 602

Text #13

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Data Index: 801888 (C4 (Web Text))

Max Activating Token Index: 594

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 796

Text #18

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Data Index: 322203 (C4 (Web Text))

Max Activating Token Index: 75

Text #19

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Data Index: 375262 (C4 (Web Text))

Max Activating Token Index: 887