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

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

Neuron 1925 in Layer 6

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: 0.0517. Min Act: -0.0000

Data Index: 16065 (C4 (Web Text))

Max Activating Token Index: 68

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Text #1

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Max Act: 0.0434. Min Act: -0.0000

Data Index: 614314 (C4 (Web Text))

Max Activating Token Index: 993

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Text #2

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Max Act: 0.0476. Min Act: -0.0000

Data Index: 1295993 (C4 (Web Text))

Max Activating Token Index: 1018

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Text #3

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Data Index: 956755 (C4 (Web Text))

Max Activating Token Index: 562

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Truncated

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Text #4

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Data Index: 376691 (C4 (Web Text))

Max Activating Token Index: 754

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Truncated

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Text #5

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Data Index: 139051 (C4 (Web Text))

Max Activating Token Index: 369

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Text #6

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Data Index: 774231 (C4 (Web Text))

Max Activating Token Index: 152

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Text #7

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Data Index: 1628871 (Python Code)

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Text #8

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Data Index: 838687 (C4 (Web Text))

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Text #9

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Data Index: 1291722 (C4 (Web Text))

Max Activating Token Index: 844

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Text #10

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Text #11

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Text #12

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Data Index: 360696 (C4 (Web Text))

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Text #13

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Text #14

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Text #15

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Data Index: 229542 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1590656 (Python Code)

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Text #18

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Data Index: 453136 (C4 (Web Text))

Max Activating Token Index: 382

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Text #19

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Data Index: 1588481 (Python Code)

Max Activating Token Index: 565

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