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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 34 in Layer 11

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 1.0409. Min Act: -0.0000

Data Index: 1575931 (Python Code)

Max Activating Token Index: 596

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Text #1

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Max Act: 0.9564. Min Act: -0.0000

Data Index: 1606746 (Python Code)

Max Activating Token Index: 523

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Text #2

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Max Act: 0.8827. Min Act: -0.0000

Data Index: 973314 (C4 (Web Text))

Max Activating Token Index: 658

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Text #3

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Data Index: 1458800 (Python Code)

Max Activating Token Index: 503

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Text #4

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Data Index: 1379890 (Python Code)

Max Activating Token Index: 848

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Text #5

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Data Index: 154977 (C4 (Web Text))

Max Activating Token Index: 462

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Text #6

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Data Index: 1380690 (Python Code)

Max Activating Token Index: 393

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Text #7

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Data Index: 1420558 (Python Code)

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Text #8

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Data Index: 1518459 (Python Code)

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Text #9

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Data Index: 336717 (C4 (Web Text))

Max Activating Token Index: 139

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Text #10

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Data Index: 1379697 (Python Code)

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Text #11

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Data Index: 148864 (C4 (Web Text))

Max Activating Token Index: 302

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Text #12

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Data Index: 434551 (C4 (Web Text))

Max Activating Token Index: 143

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Text #13

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Data Index: 1412225 (Python Code)

Max Activating Token Index: 74

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Text #14

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Data Index: 1487641 (Python Code)

Max Activating Token Index: 178

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Text #15

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Text #16

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Data Index: 1404153 (Python Code)

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Text #17

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Data Index: 1489260 (Python Code)

Max Activating Token Index: 360

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Text #18

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Data Index: 1424734 (Python Code)

Max Activating Token Index: 183

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Text #19

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Data Index: 1544133 (Python Code)

Max Activating Token Index: 215

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