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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 3783 in Layer 5

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 0.0775. Min Act: -0.0000

Data Index: 1399937 (Python Code)

Max Activating Token Index: 680

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Text #1

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Data Index: 1153735 (C4 (Web Text))

Max Activating Token Index: 84

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Text #2

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Max Act: 0.0611. Min Act: -0.0000

Data Index: 1480884 (Python Code)

Max Activating Token Index: 607

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Text #3

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Max Act: 0.0659. Min Act: -0.0000

Data Index: 779634 (C4 (Web Text))

Max Activating Token Index: 998

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Text #4

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Max Act: 0.0619. Min Act: -0.0000

Data Index: 533466 (C4 (Web Text))

Max Activating Token Index: 980

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Text #5

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Data Index: 300635 (C4 (Web Text))

Max Activating Token Index: 640

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Text #6

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Data Index: 1257077 (C4 (Web Text))

Max Activating Token Index: 996

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Text #7

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Data Index: 830511 (C4 (Web Text))

Max Activating Token Index: 839

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Text #8

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Data Index: 355101 (C4 (Web Text))

Max Activating Token Index: 448

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Text #9

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Data Index: 677944 (C4 (Web Text))

Max Activating Token Index: 445

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Text #10

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Data Index: 1142516 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 190964 (C4 (Web Text))

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Text #13

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Data Index: 615623 (C4 (Web Text))

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Text #14

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Data Index: 511843 (C4 (Web Text))

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Text #15

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Data Index: 564249 (C4 (Web Text))

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Text #16

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Data Index: 381854 (C4 (Web Text))

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Text #17

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Data Index: 202056 (C4 (Web Text))

Max Activating Token Index: 593

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Text #18

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Data Index: 393649 (C4 (Web Text))

Max Activating Token Index: 302

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Text #19

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Data Index: 514853 (C4 (Web Text))

Max Activating Token Index: 101

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