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

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

Neuron 1095 in Layer 0

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

Text #0

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Max Act: 0.0132. Min Act: -0.0006

Data Index: 1287096 (C4 (Web Text))

Max Activating Token Index: 816

Text #1

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Data Index: 1336389 (C4 (Web Text))

Max Activating Token Index: 761

Text #2

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Max Act: 0.0122. Min Act: -0.0005

Data Index: 1219339 (C4 (Web Text))

Max Activating Token Index: 682

Text #3

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Max Act: 0.0123. Min Act: -0.0006

Data Index: 451066 (C4 (Web Text))

Max Activating Token Index: 468

Text #4

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Max Act: 0.0125. Min Act: -0.0005

Data Index: 1188125 (C4 (Web Text))

Max Activating Token Index: 249

Text #5

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Data Index: 1183785 (C4 (Web Text))

Max Activating Token Index: 469

Text #6

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Max Activating Token Index: 151

Text #7

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Max Activating Token Index: 305

Text #8

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Max Activating Token Index: 665

Text #9

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Data Index: 341771 (C4 (Web Text))

Max Activating Token Index: 594

Text #10

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Data Index: 884641 (C4 (Web Text))

Max Activating Token Index: 213

Text #11

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Max Activating Token Index: 808

Text #12

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Data Index: 73516 (C4 (Web Text))

Max Activating Token Index: 138

Text #13

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Max Activating Token Index: 794

Text #14

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Data Index: 35162 (C4 (Web Text))

Max Activating Token Index: 195

Text #15

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Text #16

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Text #17

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Text #18

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Data Index: 200490 (C4 (Web Text))

Max Activating Token Index: 587

Text #19

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Data Index: 694679 (C4 (Web Text))

Max Activating Token Index: 120