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

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

Neuron 568 in Layer 2

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

Text #0

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Max Act: 0.0498. Min Act: -0.0004

Data Index: 814222 (C4 (Web Text))

Max Activating Token Index: 282

Text #1

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Max Act: 0.0454. Min Act: -0.0003

Data Index: 409807 (C4 (Web Text))

Max Activating Token Index: 185

Text #2

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Max Act: 0.0422. Min Act: -0.0003

Data Index: 391743 (C4 (Web Text))

Max Activating Token Index: 660

Text #3

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Max Act: 0.0416. Min Act: -0.0002

Data Index: 578441 (C4 (Web Text))

Max Activating Token Index: 159

Text #4

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Data Index: 679324 (C4 (Web Text))

Max Activating Token Index: 754

Text #5

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Data Index: 135779 (C4 (Web Text))

Max Activating Token Index: 738

Text #6

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Data Index: 910770 (C4 (Web Text))

Max Activating Token Index: 156

Text #7

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Text #8

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Max Activating Token Index: 971

Text #9

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Max Activating Token Index: 120

Text #10

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Max Activating Token Index: 342

Text #11

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Max Activating Token Index: 983

Text #12

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Max Activating Token Index: 65

Text #13

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Data Index: 741674 (C4 (Web Text))

Max Activating Token Index: 1009

Text #14

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Data Index: 393850 (C4 (Web Text))

Max Activating Token Index: 142

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 129

Text #18

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Data Index: 150704 (C4 (Web Text))

Max Activating Token Index: 575

Text #19

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Data Index: 1283174 (C4 (Web Text))

Max Activating Token Index: 67