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

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

Neuron 2309 in Layer 7

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 0.9630. Min Act: -0.0000

Data Index: 273226 (C4 (Web Text))

Max Activating Token Index: 718

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Text #1

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Max Act: 0.9266. Min Act: -0.0000

Data Index: 1483519 (Python Code)

Max Activating Token Index: 409

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Text #2

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Max Act: 0.9096. Min Act: -0.0000

Data Index: 1226352 (C4 (Web Text))

Max Activating Token Index: 211

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Text #3

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Max Act: 0.8498. Min Act: -0.0000

Data Index: 1587658 (Python Code)

Max Activating Token Index: 774

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Text #4

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Max Act: 0.6992. Min Act: -0.0000

Data Index: 1391642 (Python Code)

Max Activating Token Index: 314

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Text #5

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Data Index: 1541026 (Python Code)

Max Activating Token Index: 396

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Text #6

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Data Index: 1587492 (Python Code)

Max Activating Token Index: 249

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Text #7

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Data Index: 1492016 (Python Code)

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Text #8

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Data Index: 1397075 (Python Code)

Max Activating Token Index: 56

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Text #9

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Data Index: 1506969 (Python Code)

Max Activating Token Index: 75

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Text #10

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Data Index: 1435506 (Python Code)

Max Activating Token Index: 455

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Text #11

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Data Index: 1591826 (Python Code)

Max Activating Token Index: 805

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Text #12

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Data Index: 1509517 (Python Code)

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Text #13

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Data Index: 1459654 (Python Code)

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Text #14

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Data Index: 1383044 (Python Code)

Max Activating Token Index: 844

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Text #15

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Data Index: 1533137 (Python Code)

Max Activating Token Index: 112

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Text #16

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Text #17

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Data Index: 1417034 (Python Code)

Max Activating Token Index: 727

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Text #18

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Data Index: 1631462 (Python Code)

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Text #19

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Data Index: 1583203 (Python Code)

Max Activating Token Index: 1018

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