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

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

Neuron 668 in Layer 0

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

Text #0

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Max Act: 0.0091. Min Act: -0.0006

Data Index: 1294533 (C4 (Web Text))

Max Activating Token Index: 191

Text #1

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Max Activating Token Index: 698

Text #2

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Max Act: 0.0086. Min Act: -0.0006

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Max Activating Token Index: 204

Text #3

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Max Act: 0.0086. Min Act: -0.0006

Data Index: 831884 (C4 (Web Text))

Max Activating Token Index: 952

Text #4

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Max Act: 0.0085. Min Act: -0.0006

Data Index: 35136 (C4 (Web Text))

Max Activating Token Index: 934

Text #5

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Data Index: 338481 (C4 (Web Text))

Max Activating Token Index: 547

Text #6

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Max Activating Token Index: 276

Text #7

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Max Activating Token Index: 499

Text #8

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Max Activating Token Index: 628

Text #9

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Data Index: 189841 (C4 (Web Text))

Max Activating Token Index: 712

Text #10

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Max Activating Token Index: 93

Text #11

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Max Activating Token Index: 350

Text #12

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Max Activating Token Index: 926

Text #13

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Max Activating Token Index: 128

Text #14

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Text #15

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Max Activating Token Index: 1014

Text #16

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Text #17

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Max Activating Token Index: 532

Text #18

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Max Activating Token Index: 237

Text #19

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Data Index: 940314 (C4 (Web Text))

Max Activating Token Index: 770