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

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

Neuron 4855 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: 1.4254. Min Act: -0.0001

Data Index: 1374673 (Python Code)

Max Activating Token Index: 287

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Text #1

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Max Act: 1.4478. Min Act: -0.0001

Data Index: 1412380 (Python Code)

Max Activating Token Index: 196

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Text #2

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Max Act: 1.4789. Min Act: -0.0001

Data Index: 461885 (C4 (Web Text))

Max Activating Token Index: 343

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Text #3

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Data Index: 1451959 (Python Code)

Max Activating Token Index: 222

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Text #4

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Max Act: 1.1705. Min Act: -0.0001

Data Index: 1627828 (Python Code)

Max Activating Token Index: 207

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Text #5

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Data Index: 1492640 (Python Code)

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Text #6

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Data Index: 1644581 (Python Code)

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Text #7

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Data Index: 1368647 (Python Code)

Max Activating Token Index: 761

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Text #8

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Data Index: 462771 (C4 (Web Text))

Max Activating Token Index: 366

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Text #9

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Data Index: 1406027 (Python Code)

Max Activating Token Index: 993

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Text #10

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Data Index: 1364824 (Python Code)

Max Activating Token Index: 134

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Text #11

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Data Index: 1437937 (Python Code)

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Text #12

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Data Index: 1607703 (Python Code)

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Text #13

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Data Index: 1405382 (Python Code)

Max Activating Token Index: 805

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Text #14

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Data Index: 1447461 (Python Code)

Max Activating Token Index: 592

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Text #15

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Data Index: 1639450 (Python Code)

Max Activating Token Index: 194

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Text #16

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Data Index: 1494007 (Python Code)

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Text #17

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Data Index: 1507307 (Python Code)

Max Activating Token Index: 212

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Text #18

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Data Index: 1367729 (Python Code)

Max Activating Token Index: 733

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Text #19

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Data Index: 1545594 (Python Code)

Max Activating Token Index: 56

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