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

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

Neuron 1576 in Layer 1

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

Text #0

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Max Act: 0.0239. Min Act: -0.0006

Data Index: 366410 (C4 (Web Text))

Max Activating Token Index: 726

Text #1

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Data Index: 657870 (C4 (Web Text))

Max Activating Token Index: 396

Text #2

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Max Act: 0.0246. Min Act: -0.0006

Data Index: 464772 (C4 (Web Text))

Max Activating Token Index: 261

Text #3

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Data Index: 510949 (C4 (Web Text))

Max Activating Token Index: 114

Text #4

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Data Index: 652952 (C4 (Web Text))

Max Activating Token Index: 1011

Text #5

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Data Index: 364130 (C4 (Web Text))

Max Activating Token Index: 586

Text #6

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Max Activating Token Index: 176

Text #7

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Data Index: 48223 (C4 (Web Text))

Max Activating Token Index: 112

Text #8

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Max Activating Token Index: 621

Text #9

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Data Index: 115211 (C4 (Web Text))

Max Activating Token Index: 499

Text #10

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Max Activating Token Index: 680

Text #11

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Max Activating Token Index: 704

Text #12

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Max Activating Token Index: 764

Text #13

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Data Index: 423142 (C4 (Web Text))

Max Activating Token Index: 302

Text #14

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Max Activating Token Index: 338

Text #15

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Max Activating Token Index: 107

Text #16

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Text #17

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Text #18

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Max Activating Token Index: 505

Text #19

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Data Index: 136531 (C4 (Web Text))

Max Activating Token Index: 541