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

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

Neuron 3224 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: 2.1779. Min Act: -0.0000

Data Index: 1467416 (Python Code)

Max Activating Token Index: 738

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Text #1

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Max Act: 1.9565. Min Act: -0.0000

Data Index: 1460765 (Python Code)

Max Activating Token Index: 968

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Text #2

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Max Act: 1.8736. Min Act: -0.0000

Data Index: 570577 (C4 (Web Text))

Max Activating Token Index: 370

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Text #3

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Max Act: 1.7457. Min Act: -0.0000

Data Index: 1527625 (Python Code)

Max Activating Token Index: 706

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Text #4

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Max Act: 1.9023. Min Act: -0.0000

Data Index: 479174 (C4 (Web Text))

Max Activating Token Index: 157

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Text #5

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Data Index: 1047822 (C4 (Web Text))

Max Activating Token Index: 34

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Text #6

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Data Index: 537787 (C4 (Web Text))

Max Activating Token Index: 626

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Text #7

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Data Index: 457318 (C4 (Web Text))

Max Activating Token Index: 626

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Text #8

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Data Index: 824666 (C4 (Web Text))

Max Activating Token Index: 923

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Text #9

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Data Index: 1002682 (C4 (Web Text))

Max Activating Token Index: 631

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Text #10

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Data Index: 1307865 (C4 (Web Text))

Max Activating Token Index: 947

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Text #11

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Data Index: 196555 (C4 (Web Text))

Max Activating Token Index: 721

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Text #12

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Data Index: 617505 (C4 (Web Text))

Max Activating Token Index: 215

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Text #13

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Data Index: 558711 (C4 (Web Text))

Max Activating Token Index: 828

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Text #14

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Data Index: 903159 (C4 (Web Text))

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Text #15

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Data Index: 389694 (C4 (Web Text))

Max Activating Token Index: 414

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Text #16

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Data Index: 59455 (C4 (Web Text))

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Text #17

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Max Act: 1.4654. Min Act: -0.0000

Data Index: 808135 (C4 (Web Text))

Max Activating Token Index: 395

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Text #18

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Max Act: 1.3629. Min Act: -0.0000

Data Index: 92204 (C4 (Web Text))

Max Activating Token Index: 1012

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Text #19

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Data Index: 1305062 (C4 (Web Text))

Max Activating Token Index: 46

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