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

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

Neuron 66 in Layer 1

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

Text #0

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Data Index: 1268610 (C4 (Web Text))

Max Activating Token Index: 212

Text #1

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Max Activating Token Index: 954

Text #2

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Max Activating Token Index: 664

Text #3

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Max Act: 0.0427. Min Act: -0.0003

Data Index: 18785 (C4 (Web Text))

Max Activating Token Index: 67

Text #4

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Data Index: 898400 (C4 (Web Text))

Max Activating Token Index: 985

Text #5

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Max Activating Token Index: 792

Text #6

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Max Activating Token Index: 376

Text #7

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Max Activating Token Index: 721

Text #8

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Max Activating Token Index: 692

Text #9

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Max Activating Token Index: 350

Text #10

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Max Activating Token Index: 296

Text #11

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Max Activating Token Index: 416

Text #12

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Max Activating Token Index: 899

Text #13

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Data Index: 150370 (C4 (Web Text))

Max Activating Token Index: 192

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 497

Text #17

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Max Activating Token Index: 155

Text #18

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Max Activating Token Index: 482

Text #19

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Data Index: 1189833 (C4 (Web Text))

Max Activating Token Index: 554