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

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

Neuron 601 in Layer 2

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

Text #0

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Max Act: 0.0563. Min Act: -0.0003

Data Index: 389665 (C4 (Web Text))

Max Activating Token Index: 550

Text #1

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Max Activating Token Index: 689

Text #2

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Max Act: 0.0543. Min Act: -0.0003

Data Index: 104833 (C4 (Web Text))

Max Activating Token Index: 311

Text #3

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Data Index: 695860 (C4 (Web Text))

Max Activating Token Index: 598

Text #4

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Max Activating Token Index: 354

Text #5

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Max Activating Token Index: 1023

Text #6

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Max Activating Token Index: 304

Text #7

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Max Activating Token Index: 379

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Max Activating Token Index: 893

Text #9

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Max Activating Token Index: 988

Text #10

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Max Activating Token Index: 434

Text #11

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Max Activating Token Index: 356

Text #12

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Text #13

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Max Activating Token Index: 689

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: 64

Text #19

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Data Index: 92487 (C4 (Web Text))

Max Activating Token Index: 911