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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 985 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



Text #0

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Max Act: 0.0302. Min Act: -0.0006

Data Index: 254175 (C4 (Web Text))

Max Activating Token Index: 306

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Text #1

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Max Act: 0.0265. Min Act: -0.0006

Data Index: 1385575 (Python Code)

Max Activating Token Index: 865

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Text #2

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Max Act: 0.0269. Min Act: -0.0006

Data Index: 1400715 (Python Code)

Max Activating Token Index: 864

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Text #3

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Max Act: 0.0269. Min Act: -0.0006

Data Index: 1639129 (Python Code)

Max Activating Token Index: 969

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Text #4

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Max Act: 0.0261. Min Act: -0.0006

Data Index: 1460034 (Python Code)

Max Activating Token Index: 816

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Text #5

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Max Act: 0.0268. Min Act: -0.0006

Data Index: 1592168 (Python Code)

Max Activating Token Index: 529

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Text #6

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Max Act: 0.0267. Min Act: -0.0006

Data Index: 1392716 (Python Code)

Max Activating Token Index: 972

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Text #7

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Data Index: 1534048 (Python Code)

Max Activating Token Index: 819

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Text #8

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Data Index: 1441130 (Python Code)

Max Activating Token Index: 479

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Text #9

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Max Act: 0.0270. Min Act: -0.0006

Data Index: 1545644 (Python Code)

Max Activating Token Index: 923

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Text #10

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Data Index: 1593177 (Python Code)

Max Activating Token Index: 782

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Text #11

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Data Index: 61089 (C4 (Web Text))

Max Activating Token Index: 179

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Text #12

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Data Index: 1631533 (Python Code)

Max Activating Token Index: 642

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Text #13

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Data Index: 1562329 (Python Code)

Max Activating Token Index: 757

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Text #14

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Data Index: 1561435 (Python Code)

Max Activating Token Index: 388

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Text #15

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Data Index: 1362437 (Python Code)

Max Activating Token Index: 62

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Text #16

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Data Index: 1611364 (Python Code)

Max Activating Token Index: 635

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Text #17

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Data Index: 1427172 (Python Code)

Max Activating Token Index: 690

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Text #18

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Data Index: 1654229 (Python Code)

Max Activating Token Index: 567

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Text #19

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Max Act: 0.0241. Min Act: -0.0006

Data Index: 1510452 (Python Code)

Max Activating Token Index: 538

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