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Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 753 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')



Text #0

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Max Act: 0.0100. Min Act: -0.0005

Data Index: 1412702 (Python Code)

Max Activating Token Index: 79

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Text #1

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Max Act: 0.0098. Min Act: -0.0005

Data Index: 185315 (C4 (Web Text))

Max Activating Token Index: 396

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Text #2

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Max Act: 0.0098. Min Act: -0.0006

Data Index: 133156 (C4 (Web Text))

Max Activating Token Index: 288

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Text #3

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Max Act: 0.0096. Min Act: -0.0005

Data Index: 1405420 (Python Code)

Max Activating Token Index: 139

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Text #4

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Data Index: 1577101 (Python Code)

Max Activating Token Index: 152

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Text #5

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Max Act: 0.0092. Min Act: -0.0005

Data Index: 1638364 (Python Code)

Max Activating Token Index: 417

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Text #6

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Data Index: 1507709 (Python Code)

Max Activating Token Index: 31

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Text #7

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Data Index: 1442759 (Python Code)

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Text #8

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Data Index: 1543876 (Python Code)

Max Activating Token Index: 310

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Text #9

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Data Index: 1492296 (Python Code)

Max Activating Token Index: 545

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Text #10

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Data Index: 1526316 (Python Code)

Max Activating Token Index: 836

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Text #11

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Data Index: 1637767 (Python Code)

Max Activating Token Index: 553

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Text #12

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Data Index: 961492 (C4 (Web Text))

Max Activating Token Index: 635

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Text #13

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Data Index: 1642980 (Python Code)

Max Activating Token Index: 640

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Text #14

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Data Index: 1625447 (Python Code)

Max Activating Token Index: 540

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Text #15

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Data Index: 303966 (C4 (Web Text))

Max Activating Token Index: 99

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Text #16

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Data Index: 1953 (C4 (Web Text))

Max Activating Token Index: 807

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Text #17

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Data Index: 1581679 (Python Code)

Max Activating Token Index: 553

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Text #18

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Data Index: 1594224 (Python Code)

Max Activating Token Index: 120

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Text #19

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Data Index: 1510028 (Python Code)

Max Activating Token Index: 55

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