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

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

Neuron 1184 in Layer 7

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: 0.0526. Min Act: -0.0000

Data Index: 1278524 (C4 (Web Text))

Max Activating Token Index: 440

Text #1

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Max Act: 0.0525. Min Act: -0.0000

Data Index: 1648246 (Python Code)

Max Activating Token Index: 90

Text #2

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Max Act: 0.0503. Min Act: -0.0000

Data Index: 1518732 (Python Code)

Max Activating Token Index: 130

Text #3

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Max Act: 0.0480. Min Act: -0.0000

Data Index: 1565517 (Python Code)

Max Activating Token Index: 730

Text #4

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Max Act: 0.0470. Min Act: -0.0000

Data Index: 528441 (C4 (Web Text))

Max Activating Token Index: 635

Text #5

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Max Act: 0.0496. Min Act: -0.0000

Data Index: 468862 (C4 (Web Text))

Max Activating Token Index: 708

Text #6

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Max Act: 0.0411. Min Act: -0.0000

Data Index: 15451 (C4 (Web Text))

Max Activating Token Index: 516

Text #7

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Data Index: 316268 (C4 (Web Text))

Max Activating Token Index: 679

Text #8

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Data Index: 578113 (C4 (Web Text))

Max Activating Token Index: 489

Text #9

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Data Index: 991105 (C4 (Web Text))

Max Activating Token Index: 382

Text #10

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Max Activating Token Index: 864

Text #11

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Data Index: 891404 (C4 (Web Text))

Max Activating Token Index: 725

Text #12

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Data Index: 982054 (C4 (Web Text))

Max Activating Token Index: 500

Text #13

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Data Index: 1016440 (C4 (Web Text))

Max Activating Token Index: 456

Text #14

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Data Index: 34393 (C4 (Web Text))

Max Activating Token Index: 980

Text #15

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Max Activating Token Index: 274

Text #16

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Max Activating Token Index: 175

Text #17

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Max Activating Token Index: 993

Text #18

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Data Index: 673476 (C4 (Web Text))

Max Activating Token Index: 553

Text #19

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Max Act: 0.0353. Min Act: -0.0000

Data Index: 1145863 (C4 (Web Text))

Max Activating Token Index: 577