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

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

Neuron 950 in Layer 1

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

Text #0

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Max Act: 0.0431. Min Act: -0.0003

Data Index: 647505 (C4 (Web Text))

Max Activating Token Index: 109

Text #1

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Max Act: 0.0390. Min Act: -0.0003

Data Index: 547524 (C4 (Web Text))

Max Activating Token Index: 143

Text #2

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Max Act: 0.0412. Min Act: -0.0003

Data Index: 1089240 (C4 (Web Text))

Max Activating Token Index: 224

Text #3

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Max Act: 0.0373. Min Act: -0.0003

Data Index: 114097 (C4 (Web Text))

Max Activating Token Index: 690

Text #4

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Max Act: 0.0378. Min Act: -0.0002

Data Index: 506418 (C4 (Web Text))

Max Activating Token Index: 126

Text #5

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Max Act: 0.0384. Min Act: -0.0002

Data Index: 236376 (C4 (Web Text))

Max Activating Token Index: 712

Text #6

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Max Activating Token Index: 149

Text #7

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Max Activating Token Index: 148

Text #8

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Max Activating Token Index: 277

Text #9

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Text #10

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Text #12

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Max Activating Token Index: 156

Text #13

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Max Activating Token Index: 482

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: 46

Text #18

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Max Activating Token Index: 956

Text #19

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Data Index: 1065685 (C4 (Web Text))

Max Activating Token Index: 779