Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 1866 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0564. Min Act: -0.0003

Data Index: 594048 (C4 (Web Text))

Max Activating Token Index: 320

Text #1

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Max Act: 0.0586. Min Act: -0.0003

Data Index: 166466 (C4 (Web Text))

Max Activating Token Index: 49

Text #2

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Max Act: 0.0570. Min Act: -0.0003

Data Index: 1221186 (C4 (Web Text))

Max Activating Token Index: 254

Text #3

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Max Act: 0.0591. Min Act: -0.0003

Data Index: 1226994 (C4 (Web Text))

Max Activating Token Index: 41

Text #4

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Max Act: 0.0518. Min Act: -0.0003

Data Index: 1263890 (C4 (Web Text))

Max Activating Token Index: 314

Text #5

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Max Activating Token Index: 558

Text #6

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Data Index: 172948 (C4 (Web Text))

Max Activating Token Index: 880

Text #7

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Data Index: 289108 (C4 (Web Text))

Max Activating Token Index: 38

Text #8

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Data Index: 1060928 (C4 (Web Text))

Max Activating Token Index: 614

Text #9

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Data Index: 139764 (C4 (Web Text))

Max Activating Token Index: 228

Text #10

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Max Activating Token Index: 775

Text #11

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Data Index: 75497 (C4 (Web Text))

Max Activating Token Index: 198

Text #12

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Max Activating Token Index: 555

Text #13

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Data Index: 681709 (C4 (Web Text))

Max Activating Token Index: 919

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 61

Text #17

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Max Activating Token Index: 890

Text #18

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Data Index: 888015 (C4 (Web Text))

Max Activating Token Index: 903

Text #19

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Max Act: 0.0557. Min Act: -0.0003

Data Index: 1627873 (Python Code)

Max Activating Token Index: 482