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

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

Neuron 1335 in Layer 6

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: 0.5107. Min Act: -0.0000

Data Index: 300431 (C4 (Web Text))

Max Activating Token Index: 459

Text #1

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Max Act: 0.5643. Min Act: -0.0000

Data Index: 620499 (C4 (Web Text))

Max Activating Token Index: 734

Text #2

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Max Act: 0.4594. Min Act: -0.0000

Data Index: 1430511 (Python Code)

Max Activating Token Index: 930

Text #3

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Max Act: 0.4390. Min Act: -0.0000

Data Index: 1650431 (Python Code)

Max Activating Token Index: 998

Text #4

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Max Act: 0.4399. Min Act: -0.0000

Data Index: 1602290 (Python Code)

Max Activating Token Index: 691

Text #5

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Max Act: 0.4587. Min Act: -0.0000

Data Index: 1524394 (Python Code)

Max Activating Token Index: 1015

Text #6

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Data Index: 1487680 (Python Code)

Max Activating Token Index: 217

Text #7

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Data Index: 1587614 (Python Code)

Max Activating Token Index: 801

Text #8

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Data Index: 1525411 (Python Code)

Max Activating Token Index: 527

Text #9

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Data Index: 1470602 (Python Code)

Max Activating Token Index: 752

Text #10

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Data Index: 1390593 (Python Code)

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Text #11

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Data Index: 1531825 (Python Code)

Max Activating Token Index: 975

Text #12

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Data Index: 1426521 (Python Code)

Max Activating Token Index: 497

Text #13

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Data Index: 1572063 (Python Code)

Max Activating Token Index: 945

Text #14

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Data Index: 1406717 (Python Code)

Max Activating Token Index: 324

Text #15

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Data Index: 1378144 (Python Code)

Max Activating Token Index: 658

Text #16

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Data Index: 1487831 (Python Code)

Max Activating Token Index: 64

Text #17

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Data Index: 1627609 (Python Code)

Max Activating Token Index: 317

Text #18

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Data Index: 1363202 (Python Code)

Max Activating Token Index: 907

Text #19

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Max Act: 0.3571. Min Act: -0.0000

Data Index: 1463001 (Python Code)

Max Activating Token Index: 996