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

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

Neuron 1263 in Layer 7

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: 4.1757. Min Act: -0.0000

Data Index: 496957 (C4 (Web Text))

Max Activating Token Index: 857

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Text #1

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Data Index: 1044486 (C4 (Web Text))

Max Activating Token Index: 804

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Text #2

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Data Index: 1166930 (C4 (Web Text))

Max Activating Token Index: 467

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Text #3

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Max Act: 3.9991. Min Act: -0.0000

Data Index: 1252343 (C4 (Web Text))

Max Activating Token Index: 581

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Text #4

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Max Act: 4.1729. Min Act: -0.0000

Data Index: 366764 (C4 (Web Text))

Max Activating Token Index: 684

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Text #5

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Data Index: 924738 (C4 (Web Text))

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Text #6

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Data Index: 1085889 (C4 (Web Text))

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Text #7

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Data Index: 607368 (C4 (Web Text))

Max Activating Token Index: 870

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Text #8

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Data Index: 649256 (C4 (Web Text))

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Text #9

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Data Index: 1336873 (C4 (Web Text))

Max Activating Token Index: 786

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Text #10

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Data Index: 162877 (C4 (Web Text))

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Text #11

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Text #12

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Text #13

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Text #14

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Text #15

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Text #16

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Text #17

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Data Index: 1436503 (Python Code)

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Text #18

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Max Act: 4.1870. Min Act: -0.0000

Data Index: 409957 (C4 (Web Text))

Max Activating Token Index: 724

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Text #19

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Data Index: 78414 (C4 (Web Text))

Max Activating Token Index: 161

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