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

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

Neuron 855 in Layer 2

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

Text #0

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Max Act: 0.0826. Min Act: -0.0002

Data Index: 921801 (C4 (Web Text))

Max Activating Token Index: 990

Text #1

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Max Activating Token Index: 5

Text #2

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Data Index: 161108 (C4 (Web Text))

Max Activating Token Index: 937

Text #3

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Max Act: 0.0732. Min Act: -0.0002

Data Index: 611015 (C4 (Web Text))

Max Activating Token Index: 370

Text #4

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Data Index: 375346 (C4 (Web Text))

Max Activating Token Index: 305

Text #5

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Data Index: 13988 (C4 (Web Text))

Max Activating Token Index: 6

Text #6

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Max Activating Token Index: 442

Text #7

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Max Activating Token Index: 585

Text #8

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Max Activating Token Index: 507

Text #9

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Max Activating Token Index: 244

Text #10

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Max Activating Token Index: 502

Text #11

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Max Activating Token Index: 46

Text #12

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Max Activating Token Index: 285

Text #13

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Max Activating Token Index: 50

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: 945

Text #19

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Data Index: 1137886 (C4 (Web Text))

Max Activating Token Index: 503