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

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

Neuron 221 in Layer 4

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



Text #0

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Max Act: 0.0413. Min Act: -0.0000

Data Index: 1500753 (Python Code)

Max Activating Token Index: 184

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Text #1

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Max Act: 0.0351. Min Act: -0.0000

Data Index: 1577530 (Python Code)

Max Activating Token Index: 351

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Text #2

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Max Act: 0.0330. Min Act: -0.0000

Data Index: 1473362 (Python Code)

Max Activating Token Index: 74

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Text #3

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Max Act: 0.0328. Min Act: -0.0000

Data Index: 789584 (C4 (Web Text))

Max Activating Token Index: 490

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Text #4

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Data Index: 1409672 (Python Code)

Max Activating Token Index: 349

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Text #5

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Data Index: 1580365 (Python Code)

Max Activating Token Index: 300

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Text #6

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Data Index: 1576 (C4 (Web Text))

Max Activating Token Index: 139

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Text #7

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Data Index: 231797 (C4 (Web Text))

Max Activating Token Index: 243

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Text #8

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Data Index: 501850 (C4 (Web Text))

Max Activating Token Index: 139

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Text #9

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Data Index: 1637970 (Python Code)

Max Activating Token Index: 345

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Text #10

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Data Index: 1607180 (Python Code)

Max Activating Token Index: 318

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Text #11

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Data Index: 1571046 (Python Code)

Max Activating Token Index: 344

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Text #12

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Data Index: 1485217 (Python Code)

Max Activating Token Index: 879

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Text #13

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Data Index: 1602631 (Python Code)

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Text #14

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Data Index: 1650762 (Python Code)

Max Activating Token Index: 520

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Text #15

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Data Index: 750818 (C4 (Web Text))

Max Activating Token Index: 165

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Text #16

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Data Index: 1519537 (Python Code)

Max Activating Token Index: 326

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Text #17

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Data Index: 1515759 (Python Code)

Max Activating Token Index: 751

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Text #18

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Data Index: 1443912 (Python Code)

Max Activating Token Index: 53

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Text #19

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Max Act: 0.0281. Min Act: -0.0000

Data Index: 1394763 (Python Code)

Max Activating Token Index: 313

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