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

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

Neuron 4980 in Layer 0

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

Text #0

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Max Act: 0.0565. Min Act: -0.0002

Data Index: 1322474 (C4 (Web Text))

Max Activating Token Index: 200

Text #1

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Max Activating Token Index: 109

Text #2

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Max Activating Token Index: 160

Text #3

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Data Index: 1106012 (C4 (Web Text))

Max Activating Token Index: 416

Text #4

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Data Index: 333738 (C4 (Web Text))

Max Activating Token Index: 381

Text #5

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Max Activating Token Index: 398

Text #6

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Max Activating Token Index: 240

Text #7

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Text #8

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Text #9

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Text #10

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Max Activating Token Index: 264

Text #11

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Max Activating Token Index: 328

Text #12

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Max Activating Token Index: 458

Text #13

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Max Activating Token Index: 10

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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Text #19

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Data Index: 642980 (C4 (Web Text))

Max Activating Token Index: 102