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

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

Neuron 3228 in Layer 4

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: 0.0892. Min Act: -0.0001

Data Index: 1447359 (Python Code)

Max Activating Token Index: 122

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Text #1

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Max Act: 0.0726. Min Act: -0.0000

Data Index: 1612768 (Python Code)

Max Activating Token Index: 1013

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Text #2

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Max Act: 0.0667. Min Act: -0.0001

Data Index: 1492293 (Python Code)

Max Activating Token Index: 816

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Text #3

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Max Act: 0.0731. Min Act: -0.0001

Data Index: 1503015 (Python Code)

Max Activating Token Index: 55

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Text #4

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Data Index: 1394578 (Python Code)

Max Activating Token Index: 173

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Text #5

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Data Index: 1551584 (Python Code)

Max Activating Token Index: 296

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Text #6

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Data Index: 1447613 (Python Code)

Max Activating Token Index: 301

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Text #7

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Data Index: 244061 (C4 (Web Text))

Max Activating Token Index: 672

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Text #8

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Data Index: 1380906 (Python Code)

Max Activating Token Index: 764

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Text #9

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Data Index: 1625824 (Python Code)

Max Activating Token Index: 60

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Text #10

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Data Index: 1521087 (Python Code)

Max Activating Token Index: 751

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Text #11

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Data Index: 1489558 (Python Code)

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Text #12

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Data Index: 242499 (C4 (Web Text))

Max Activating Token Index: 895

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Text #13

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Data Index: 1656374 (Python Code)

Max Activating Token Index: 79

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Text #14

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Data Index: 1394752 (Python Code)

Max Activating Token Index: 552

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Text #15

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Data Index: 1495152 (Python Code)

Max Activating Token Index: 625

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Text #16

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Data Index: 1651967 (Python Code)

Max Activating Token Index: 833

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Text #17

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Data Index: 1625340 (Python Code)

Max Activating Token Index: 102

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Text #18

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Data Index: 1507671 (Python Code)

Max Activating Token Index: 136

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Text #19

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Max Act: 0.0581. Min Act: -0.0001

Data Index: 1589416 (Python Code)

Max Activating Token Index: 344

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