Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 1541 in Layer 10

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')

Text #0

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Max Act: 0.4965. Min Act: -0.0000

Data Index: 835080 (C4 (Web Text))

Max Activating Token Index: 274

Text #1

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Max Act: 0.4145. Min Act: -0.0000

Data Index: 1146087 (C4 (Web Text))

Max Activating Token Index: 258

Text #2

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Max Act: 0.4065. Min Act: -0.0000

Data Index: 751302 (C4 (Web Text))

Max Activating Token Index: 955

Text #3

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Max Act: 0.3877. Min Act: -0.0000

Data Index: 85332 (C4 (Web Text))

Max Activating Token Index: 550

Text #4

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Data Index: 255276 (C4 (Web Text))

Max Activating Token Index: 919

Text #5

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Data Index: 54327 (C4 (Web Text))

Max Activating Token Index: 254

Text #6

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Data Index: 1061570 (C4 (Web Text))

Max Activating Token Index: 261

Text #7

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Data Index: 1208398 (C4 (Web Text))

Max Activating Token Index: 88

Text #8

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Data Index: 1605611 (Python Code)

Max Activating Token Index: 992

Text #9

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Data Index: 1147740 (C4 (Web Text))

Max Activating Token Index: 166

Text #10

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Data Index: 1614218 (Python Code)

Max Activating Token Index: 44

Text #11

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Data Index: 1422120 (Python Code)

Max Activating Token Index: 840

Text #12

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Data Index: 467708 (C4 (Web Text))

Max Activating Token Index: 714

Text #13

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Data Index: 457907 (C4 (Web Text))

Max Activating Token Index: 354

Text #14

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Data Index: 1506263 (Python Code)

Max Activating Token Index: 442

Text #15

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Data Index: 868924 (C4 (Web Text))

Max Activating Token Index: 330

Text #16

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Text #17

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Data Index: 1428798 (Python Code)

Max Activating Token Index: 550

Text #18

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Data Index: 1621871 (Python Code)

Max Activating Token Index: 489

Text #19

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Max Act: 0.2904. Min Act: -0.0000

Data Index: 1301403 (C4 (Web Text))

Max Activating Token Index: 104