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

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

Neuron 5100 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: 0.7746. Min Act: -0.0001

Data Index: 211574 (C4 (Web Text))

Max Activating Token Index: 23

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Text #1

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Max Act: 0.7433. Min Act: -0.0001

Data Index: 659234 (C4 (Web Text))

Max Activating Token Index: 735

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Text #2

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Max Act: 0.7450. Min Act: -0.0001

Data Index: 413508 (C4 (Web Text))

Max Activating Token Index: 467

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Text #3

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Max Act: 0.6438. Min Act: -0.0001

Data Index: 1188088 (C4 (Web Text))

Max Activating Token Index: 811

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Text #4

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Data Index: 1138342 (C4 (Web Text))

Max Activating Token Index: 6

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Text #5

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Data Index: 1044377 (C4 (Web Text))

Max Activating Token Index: 444

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Text #6

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Data Index: 896094 (C4 (Web Text))

Max Activating Token Index: 176

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Text #7

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Data Index: 1257448 (C4 (Web Text))

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Text #8

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Data Index: 176470 (C4 (Web Text))

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Text #9

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Data Index: 79468 (C4 (Web Text))

Max Activating Token Index: 157

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Text #10

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Max Activating Token Index: 647

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Text #11

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Text #12

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Data Index: 84751 (C4 (Web Text))

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Text #13

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Data Index: 360533 (C4 (Web Text))

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Text #14

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Data Index: 363752 (C4 (Web Text))

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Text #15

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Data Index: 844872 (C4 (Web Text))

Max Activating Token Index: 35

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Text #16

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Text #17

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Data Index: 259916 (C4 (Web Text))

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Text #18

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Data Index: 1254873 (C4 (Web Text))

Max Activating Token Index: 316

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Text #19

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Data Index: 1353029 (C4 (Web Text))

Max Activating Token Index: 376

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