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

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

Neuron 890 in Layer 1

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: 0.0263. Min Act: -0.0003

Data Index: 1042674 (C4 (Web Text))

Max Activating Token Index: 13

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Text #1

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Data Index: 1515840 (Python Code)

Max Activating Token Index: 272

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Text #2

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Max Act: 0.0256. Min Act: -0.0002

Data Index: 1396144 (Python Code)

Max Activating Token Index: 381

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Text #3

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Max Act: 0.0258. Min Act: -0.0002

Data Index: 1466363 (Python Code)

Max Activating Token Index: 319

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Text #4

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Max Act: 0.0244. Min Act: -0.0002

Data Index: 1430472 (Python Code)

Max Activating Token Index: 330

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Text #5

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Data Index: 1518401 (Python Code)

Max Activating Token Index: 351

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Text #6

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Data Index: 1532387 (Python Code)

Max Activating Token Index: 120

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Text #7

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Data Index: 1574222 (Python Code)

Max Activating Token Index: 303

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Text #8

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Data Index: 1476789 (Python Code)

Max Activating Token Index: 901

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Text #9

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Data Index: 1465657 (Python Code)

Max Activating Token Index: 438

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Text #10

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Data Index: 1415601 (Python Code)

Max Activating Token Index: 15

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Text #11

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Data Index: 1368996 (Python Code)

Max Activating Token Index: 59

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Text #12

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Data Index: 474345 (C4 (Web Text))

Max Activating Token Index: 997

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Text #13

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Data Index: 1432669 (Python Code)

Max Activating Token Index: 652

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Text #14

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Data Index: 1498711 (Python Code)

Max Activating Token Index: 371

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Text #15

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Data Index: 1480526 (Python Code)

Max Activating Token Index: 275

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Text #16

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Data Index: 1425482 (Python Code)

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Text #17

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Data Index: 1550573 (Python Code)

Max Activating Token Index: 33

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Text #18

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Data Index: 1588419 (Python Code)

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Text #19

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Data Index: 1373781 (Python Code)

Max Activating Token Index: 344

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