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

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

Neuron 2059 in Layer 4

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: 0.0656. Min Act: -0.0001

Data Index: 1220716 (C4 (Web Text))

Max Activating Token Index: 249

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Text #1

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Max Act: 0.0594. Min Act: -0.0001

Data Index: 671582 (C4 (Web Text))

Max Activating Token Index: 384

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Truncated

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Text #2

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Max Act: 0.0507. Min Act: -0.0001

Data Index: 149459 (C4 (Web Text))

Max Activating Token Index: 397

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Text #3

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Max Act: 0.0498. Min Act: -0.0001

Data Index: 1174783 (C4 (Web Text))

Max Activating Token Index: 381

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Truncated

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Text #4

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Max Act: 0.0477. Min Act: -0.0001

Data Index: 690474 (C4 (Web Text))

Max Activating Token Index: 696

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Truncated

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Text #5

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Data Index: 1280776 (C4 (Web Text))

Max Activating Token Index: 567

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Text #6

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Data Index: 527202 (C4 (Web Text))

Max Activating Token Index: 32

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Truncated

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Text #7

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Data Index: 1394815 (Python Code)

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Text #8

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Data Index: 292331 (C4 (Web Text))

Max Activating Token Index: 968

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Text #9

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Data Index: 942859 (C4 (Web Text))

Max Activating Token Index: 599

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Text #10

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Data Index: 665785 (C4 (Web Text))

Max Activating Token Index: 694

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Truncated

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Text #11

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Text #12

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Data Index: 862161 (C4 (Web Text))

Max Activating Token Index: 840

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Text #13

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Data Index: 1158241 (C4 (Web Text))

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Text #14

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Data Index: 1626114 (Python Code)

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Text #15

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Data Index: 636332 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 826048 (C4 (Web Text))

Max Activating Token Index: 650

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Text #18

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Data Index: 1160117 (C4 (Web Text))

Max Activating Token Index: 64

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Text #19

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Data Index: 621467 (C4 (Web Text))

Max Activating Token Index: 486

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