Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 4523 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

Max Range: 0.0164. Min Range: -0.0164

Max Act: 0.0163. Min Act: -0.0003

Data Index: 1152405 (C4 (Web Text))

Max Activating Token Index: 825

Text #1

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Max Act: 0.0164. Min Act: -0.0002

Data Index: 1447334 (Python Code)

Max Activating Token Index: 778

Text #2

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Max Act: 0.0164. Min Act: -0.0003

Data Index: 1337570 (C4 (Web Text))

Max Activating Token Index: 966

Text #3

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Max Act: 0.0156. Min Act: -0.0002

Data Index: 1628036 (Python Code)

Max Activating Token Index: 822

Text #4

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Max Act: 0.0154. Min Act: -0.0002

Data Index: 663210 (C4 (Web Text))

Max Activating Token Index: 676

Text #5

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Max Act: 0.0152. Min Act: -0.0002

Data Index: 1612801 (Python Code)

Max Activating Token Index: 814

Text #6

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Max Act: 0.0144. Min Act: -0.0002

Data Index: 1416414 (Python Code)

Max Activating Token Index: 455

Text #7

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Data Index: 315646 (C4 (Web Text))

Max Activating Token Index: 524

Text #8

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Data Index: 702480 (C4 (Web Text))

Max Activating Token Index: 716

Text #9

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Data Index: 233124 (C4 (Web Text))

Max Activating Token Index: 511

Text #10

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Data Index: 925471 (C4 (Web Text))

Max Activating Token Index: 442

Text #11

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Data Index: 1410930 (Python Code)

Max Activating Token Index: 146

Text #12

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Data Index: 1522851 (Python Code)

Max Activating Token Index: 652

Text #13

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Data Index: 1505113 (Python Code)

Max Activating Token Index: 602

Text #14

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Data Index: 1187530 (C4 (Web Text))

Max Activating Token Index: 514

Text #15

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Data Index: 1422556 (Python Code)

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Text #16

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Data Index: 1412980 (Python Code)

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Text #17

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Data Index: 93625 (C4 (Web Text))

Max Activating Token Index: 949

Text #18

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Data Index: 1207334 (C4 (Web Text))

Max Activating Token Index: 735

Text #19

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Max Act: 0.0132. Min Act: -0.0002

Data Index: 1407422 (Python Code)

Max Activating Token Index: 224