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

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

Neuron 77 in Layer 1

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

Text #0

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Max Act: 0.0470. Min Act: -0.0004

Data Index: 939095 (C4 (Web Text))

Max Activating Token Index: 250

Text #1

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Data Index: 697437 (C4 (Web Text))

Max Activating Token Index: 925

Text #2

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Max Act: 0.0436. Min Act: -0.0003

Data Index: 855700 (C4 (Web Text))

Max Activating Token Index: 675

Text #3

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Max Act: 0.0419. Min Act: -0.0003

Data Index: 259782 (C4 (Web Text))

Max Activating Token Index: 594

Text #4

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Data Index: 991457 (C4 (Web Text))

Max Activating Token Index: 525

Text #5

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Data Index: 194431 (C4 (Web Text))

Max Activating Token Index: 466

Text #6

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Text #7

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Max Activating Token Index: 712

Text #8

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Max Activating Token Index: 884

Text #9

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Max Activating Token Index: 248

Text #10

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Max Activating Token Index: 158

Text #11

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Text #12

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Max Activating Token Index: 478

Text #13

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Max Activating Token Index: 185

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: 644

Text #18

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Data Index: 867917 (C4 (Web Text))

Max Activating Token Index: 800

Text #19

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Data Index: 160587 (C4 (Web Text))

Max Activating Token Index: 957