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

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

Neuron 1659 in Layer 1

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

Text #0

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Max Act: 0.0674. Min Act: -0.0003

Data Index: 200581 (C4 (Web Text))

Max Activating Token Index: 716

Text #1

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Max Act: 0.0627. Min Act: -0.0003

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Max Activating Token Index: 704

Text #2

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Max Act: 0.0617. Min Act: -0.0003

Data Index: 1194110 (C4 (Web Text))

Max Activating Token Index: 31

Text #3

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Data Index: 680427 (C4 (Web Text))

Max Activating Token Index: 986

Text #4

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Max Act: 0.0554. Min Act: -0.0003

Data Index: 867899 (C4 (Web Text))

Max Activating Token Index: 443

Text #5

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Data Index: 600497 (C4 (Web Text))

Max Activating Token Index: 886

Text #6

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Max Activating Token Index: 300

Text #7

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Max Activating Token Index: 271

Text #8

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Max Activating Token Index: 321

Text #9

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Max Activating Token Index: 268

Text #10

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Max Activating Token Index: 602

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Data Index: 131410 (C4 (Web Text))

Max Activating Token Index: 568

Text #12

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Max Activating Token Index: 732

Text #13

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Max Activating Token Index: 335

Text #14

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Data Index: 277178 (C4 (Web Text))

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Text #15

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Text #16

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Max Activating Token Index: 244

Text #17

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Max Activating Token Index: 247

Text #18

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Max Activating Token Index: 70

Text #19

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Data Index: 340565 (C4 (Web Text))

Max Activating Token Index: 1005