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

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

Neuron 3960 in Layer 1

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

Text #0

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Max Act: 0.0249. Min Act: -0.0003

Data Index: 1239301 (C4 (Web Text))

Max Activating Token Index: 746

Text #1

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Data Index: 302279 (C4 (Web Text))

Max Activating Token Index: 55

Text #2

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Data Index: 1241498 (C4 (Web Text))

Max Activating Token Index: 627

Text #3

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Max Act: 0.0209. Min Act: -0.0003

Data Index: 448810 (C4 (Web Text))

Max Activating Token Index: 139

Text #4

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Data Index: 270335 (C4 (Web Text))

Max Activating Token Index: 498

Text #5

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Data Index: 899667 (C4 (Web Text))

Max Activating Token Index: 217

Text #6

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Data Index: 489392 (C4 (Web Text))

Max Activating Token Index: 354

Text #7

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Data Index: 211203 (C4 (Web Text))

Max Activating Token Index: 497

Text #8

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Max Activating Token Index: 206

Text #9

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Max Activating Token Index: 852

Text #10

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Max Activating Token Index: 201

Text #11

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Max Activating Token Index: 17

Text #12

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Max Activating Token Index: 159

Text #13

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Max Activating Token Index: 383

Text #14

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Data Index: 454313 (C4 (Web Text))

Max Activating Token Index: 329

Text #15

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Max Activating Token Index: 322

Text #16

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Text #17

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Max Activating Token Index: 303

Text #18

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Text #19

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Data Index: 649553 (C4 (Web Text))

Max Activating Token Index: 234