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

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

Neuron 47 in Layer 2

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: 0.0506. Min Act: -0.0003

Data Index: 1112013 (C4 (Web Text))

Max Activating Token Index: 162

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Text #1

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Data Index: 271590 (C4 (Web Text))

Max Activating Token Index: 238

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Truncated

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Text #2

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Max Act: 0.0289. Min Act: -0.0002

Data Index: 1068609 (C4 (Web Text))

Max Activating Token Index: 260

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Text #3

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Data Index: 1317205 (C4 (Web Text))

Max Activating Token Index: 446

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Truncated

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Text #4

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Data Index: 504872 (C4 (Web Text))

Max Activating Token Index: 501

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Truncated

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Text #5

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Data Index: 207847 (C4 (Web Text))

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Text #6

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Data Index: 685952 (C4 (Web Text))

Max Activating Token Index: 265

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Truncated

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Text #7

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Truncated

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Text #8

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Data Index: 901147 (C4 (Web Text))

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Text #9

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Data Index: 457373 (C4 (Web Text))

Max Activating Token Index: 619

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Truncated

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Text #10

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Data Index: 850393 (C4 (Web Text))

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Truncated

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Text #11

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Truncated

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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: 810113 (C4 (Web Text))

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Text #18

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Data Index: 490222 (C4 (Web Text))

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Truncated

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Text #19

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Data Index: 1281795 (C4 (Web Text))

Max Activating Token Index: 328

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