Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 554 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0447. Min Act: -0.0001

Data Index: 1277211 (C4 (Web Text))

Max Activating Token Index: 233

Text #1

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Max Activating Token Index: 135

Text #2

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Max Activating Token Index: 1023

Text #3

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Max Act: 0.0390. Min Act: -0.0002

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Max Activating Token Index: 651

Text #4

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Data Index: 326268 (C4 (Web Text))

Max Activating Token Index: 997

Text #5

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Max Activating Token Index: 40

Text #6

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Text #7

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Max Activating Token Index: 366

Text #8

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Max Activating Token Index: 540

Text #9

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Max Activating Token Index: 227

Text #10

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Max Activating Token Index: 701

Text #11

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Max Activating Token Index: 840

Text #12

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Max Activating Token Index: 532

Text #13

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Max Activating Token Index: 258

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: 633

Text #18

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Max Activating Token Index: 734

Text #19

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Data Index: 863331 (C4 (Web Text))

Max Activating Token Index: 320