Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 847 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0234. Min Act: -0.0005

Data Index: 530338 (C4 (Web Text))

Max Activating Token Index: 272

Text #1

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Max Act: 0.0223. Min Act: -0.0005

Data Index: 28699 (C4 (Web Text))

Max Activating Token Index: 550

Text #2

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Data Index: 406748 (C4 (Web Text))

Max Activating Token Index: 535

Text #3

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Data Index: 1339388 (C4 (Web Text))

Max Activating Token Index: 620

Text #4

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Max Act: 0.0211. Min Act: -0.0005

Data Index: 1096081 (C4 (Web Text))

Max Activating Token Index: 394

Text #5

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Max Act: 0.0211. Min Act: -0.0005

Data Index: 77843 (C4 (Web Text))

Max Activating Token Index: 574

Text #6

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Data Index: 1424603 (Python Code)

Max Activating Token Index: 585

Text #7

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Data Index: 1075723 (C4 (Web Text))

Max Activating Token Index: 272

Text #8

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Max Activating Token Index: 664

Text #9

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Max Activating Token Index: 838

Text #10

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Max Activating Token Index: 229

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Max Activating Token Index: 327

Text #12

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Max Activating Token Index: 251

Text #13

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Data Index: 114379 (C4 (Web Text))

Max Activating Token Index: 853

Text #14

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Max Activating Token Index: 125

Text #15

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Text #16

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Max Activating Token Index: 196

Text #17

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Data Index: 1101470 (C4 (Web Text))

Max Activating Token Index: 116

Text #18

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Data Index: 573430 (C4 (Web Text))

Max Activating Token Index: 922

Text #19

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Data Index: 313730 (C4 (Web Text))

Max Activating Token Index: 497