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

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

Neuron 1676 in Layer 1

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

Text #0

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Max Act: 0.0257. Min Act: -0.0006

Data Index: 648326 (C4 (Web Text))

Max Activating Token Index: 308

Text #1

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Max Act: 0.0260. Min Act: -0.0006

Data Index: 389565 (C4 (Web Text))

Max Activating Token Index: 330

Text #2

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Max Act: 0.0249. Min Act: -0.0006

Data Index: 1307865 (C4 (Web Text))

Max Activating Token Index: 315

Text #3

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Max Act: 0.0247. Min Act: -0.0006

Data Index: 276606 (C4 (Web Text))

Max Activating Token Index: 502

Text #4

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Data Index: 1215052 (C4 (Web Text))

Max Activating Token Index: 672

Text #5

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Data Index: 1002096 (C4 (Web Text))

Max Activating Token Index: 446

Text #6

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Data Index: 342945 (C4 (Web Text))

Max Activating Token Index: 135

Text #7

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Data Index: 195628 (C4 (Web Text))

Max Activating Token Index: 471

Text #8

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Max Activating Token Index: 66

Text #9

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Data Index: 110702 (C4 (Web Text))

Max Activating Token Index: 607

Text #10

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Max Activating Token Index: 91

Text #11

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Max Activating Token Index: 32

Text #12

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Data Index: 1271565 (C4 (Web Text))

Max Activating Token Index: 512

Text #13

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Data Index: 916636 (C4 (Web Text))

Max Activating Token Index: 309

Text #14

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Data Index: 464651 (C4 (Web Text))

Max Activating Token Index: 369

Text #15

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Max Activating Token Index: 315

Text #16

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Text #17

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Max Activating Token Index: 457

Text #18

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Max Activating Token Index: 451

Text #19

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Data Index: 67423 (C4 (Web Text))

Max Activating Token Index: 329