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

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

Neuron 1054 in Layer 1

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

Text #0

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Max Act: 0.0602. Min Act: -0.0003

Data Index: 1111222 (C4 (Web Text))

Max Activating Token Index: 585

Text #1

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Data Index: 1233884 (C4 (Web Text))

Max Activating Token Index: 487

Text #2

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Max Act: 0.0564. Min Act: -0.0003

Data Index: 195141 (C4 (Web Text))

Max Activating Token Index: 380

Text #3

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Max Act: 0.0567. Min Act: -0.0003

Data Index: 937777 (C4 (Web Text))

Max Activating Token Index: 796

Text #4

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Data Index: 677685 (C4 (Web Text))

Max Activating Token Index: 785

Text #5

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Data Index: 1034425 (C4 (Web Text))

Max Activating Token Index: 951

Text #6

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Data Index: 1271361 (C4 (Web Text))

Max Activating Token Index: 268

Text #7

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Data Index: 1138770 (C4 (Web Text))

Max Activating Token Index: 800

Text #8

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Data Index: 330650 (C4 (Web Text))

Max Activating Token Index: 950

Text #9

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Max Activating Token Index: 619

Text #10

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Data Index: 33910 (C4 (Web Text))

Max Activating Token Index: 616

Text #11

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Data Index: 229933 (C4 (Web Text))

Max Activating Token Index: 554

Text #12

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Max Activating Token Index: 78

Text #13

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Max Activating Token Index: 48

Text #14

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Max Activating Token Index: 688

Text #15

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Max Activating Token Index: 40

Text #16

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Max Activating Token Index: 941

Text #17

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Max Activating Token Index: 784

Text #18

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Max Activating Token Index: 902

Text #19

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Data Index: 142532 (C4 (Web Text))

Max Activating Token Index: 457