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

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

Neuron 1518 in Layer 0

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

Text #0

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Max Act: 0.0130. Min Act: -0.0005

Data Index: 200084 (C4 (Web Text))

Max Activating Token Index: 490

Text #1

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Max Activating Token Index: 826

Text #2

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Max Act: 0.0120. Min Act: -0.0004

Data Index: 11775 (C4 (Web Text))

Max Activating Token Index: 396

Text #3

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Max Act: 0.0117. Min Act: -0.0004

Data Index: 943350 (C4 (Web Text))

Max Activating Token Index: 706

Text #4

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Data Index: 686345 (C4 (Web Text))

Max Activating Token Index: 145

Text #5

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Data Index: 602872 (C4 (Web Text))

Max Activating Token Index: 586

Text #6

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Text #7

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Max Activating Token Index: 877

Text #8

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Max Activating Token Index: 594

Text #9

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Data Index: 311797 (C4 (Web Text))

Max Activating Token Index: 153

Text #10

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Max Activating Token Index: 316

Text #11

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Max Activating Token Index: 455

Text #12

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Data Index: 377053 (C4 (Web Text))

Max Activating Token Index: 387

Text #13

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Data Index: 366246 (C4 (Web Text))

Max Activating Token Index: 377

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: 485

Text #18

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Max Activating Token Index: 776

Text #19

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Data Index: 649008 (C4 (Web Text))

Max Activating Token Index: 254