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

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

Neuron 5095 in Layer 0

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

Text #0

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Data Index: 1509387 (Python Code)

Max Activating Token Index: 1

Text #1

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Data Index: 713574 (C4 (Web Text))

Max Activating Token Index: 2

Text #2

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Data Index: 357454 (C4 (Web Text))

Max Activating Token Index: 3

Text #3

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Data Index: 762093 (C4 (Web Text))

Max Activating Token Index: 5

Text #4

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Data Index: 502500 (C4 (Web Text))

Max Activating Token Index: 5

Text #5

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Data Index: 795442 (C4 (Web Text))

Max Activating Token Index: 3

Text #6

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Data Index: 1640479 (Python Code)

Max Activating Token Index: 3

Text #7

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Data Index: 514645 (C4 (Web Text))

Max Activating Token Index: 3

Text #8

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Max Activating Token Index: 12

Text #9

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Max Activating Token Index: 36

Text #10

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Max Activating Token Index: 352

Text #11

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Max Activating Token Index: 685

Text #12

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Max Activating Token Index: 58

Text #13

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Max Activating Token Index: 184

Text #14

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Max Activating Token Index: 278

Text #15

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Text #16

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Max Activating Token Index: 185

Text #17

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Text #18

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Max Activating Token Index: 978

Text #19

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Data Index: 1039089 (C4 (Web Text))

Max Activating Token Index: 537