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

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

Neuron 299 in Layer 0

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

Text #0

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Max Act: 0.1755. Min Act: -0.0002

Data Index: 608 (C4 (Web Text))

Max Activating Token Index: 368

Text #1

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Data Index: 998050 (C4 (Web Text))

Max Activating Token Index: 298

Text #2

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Max Act: 0.1614. Min Act: -0.0001

Data Index: 6816 (C4 (Web Text))

Max Activating Token Index: 394

Text #3

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Data Index: 1154643 (C4 (Web Text))

Max Activating Token Index: 968

Text #4

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Max Activating Token Index: 47

Text #5

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Max Activating Token Index: 51

Text #6

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Max Activating Token Index: 339

Text #7

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Max Activating Token Index: 794

Text #8

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Max Activating Token Index: 798

Text #9

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Max Activating Token Index: 156

Text #10

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Max Activating Token Index: 810

Text #11

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Max Activating Token Index: 202

Text #12

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Text #13

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Max Activating Token Index: 340

Text #14

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Max Activating Token Index: 892

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 192

Text #18

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Max Activating Token Index: 132

Text #19

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Data Index: 863604 (C4 (Web Text))

Max Activating Token Index: 401