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

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

Neuron 1870 in Layer 7

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: 0.0577. Min Act: -0.0000

Data Index: 512766 (C4 (Web Text))

Max Activating Token Index: 1018

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Text #1

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Data Index: 965016 (C4 (Web Text))

Max Activating Token Index: 665

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Text #2

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Max Act: 0.0489. Min Act: -0.0000

Data Index: 446865 (C4 (Web Text))

Max Activating Token Index: 78

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Text #3

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Max Act: 0.0483. Min Act: -0.0000

Data Index: 1524979 (Python Code)

Max Activating Token Index: 113

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Text #4

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Data Index: 250865 (C4 (Web Text))

Max Activating Token Index: 814

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Text #5

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Data Index: 842271 (C4 (Web Text))

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Text #6

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Data Index: 1279081 (C4 (Web Text))

Max Activating Token Index: 1009

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Text #7

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Data Index: 168262 (C4 (Web Text))

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Text #8

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Data Index: 645731 (C4 (Web Text))

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Text #9

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Data Index: 172810 (C4 (Web Text))

Max Activating Token Index: 344

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Text #10

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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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Data Index: 1612670 (Python Code)

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Text #15

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Data Index: 1253348 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 790810 (C4 (Web Text))

Max Activating Token Index: 263

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Text #18

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Data Index: 1347249 (C4 (Web Text))

Max Activating Token Index: 154

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Text #19

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Data Index: 370482 (C4 (Web Text))

Max Activating Token Index: 699

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