Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 559 in Layer 9

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Data Index: 75347 (C4 (Web Text))

Max Activating Token Index: 783

Text #1

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Data Index: 602233 (C4 (Web Text))

Max Activating Token Index: 602

Text #2

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Max Activating Token Index: 380

Text #3

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Max Act: 0.0493. Min Act: -0.0000

Data Index: 1647064 (Python Code)

Max Activating Token Index: 716

Text #4

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Data Index: 653748 (C4 (Web Text))

Max Activating Token Index: 733

Text #5

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Max Activating Token Index: 936

Text #6

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Max Activating Token Index: 633

Text #7

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Max Activating Token Index: 490

Text #8

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Text #9

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Text #10

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Max Activating Token Index: 481

Text #11

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Text #12

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Max Activating Token Index: 252

Text #13

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Max Activating Token Index: 699

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 443

Text #19

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Data Index: 367364 (C4 (Web Text))

Max Activating Token Index: 770