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

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

Neuron 3940 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: 0.0726. Min Act: -0.0002

Data Index: 1025828 (C4 (Web Text))

Max Activating Token Index: 426

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Text #1

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Data Index: 87402 (C4 (Web Text))

Max Activating Token Index: 392

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Text #2

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Data Index: 335142 (C4 (Web Text))

Max Activating Token Index: 716

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Text #3

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Data Index: 126708 (C4 (Web Text))

Max Activating Token Index: 707

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Text #4

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Data Index: 321 (C4 (Web Text))

Max Activating Token Index: 396

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Text #5

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Data Index: 923499 (C4 (Web Text))

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Text #6

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Data Index: 77360 (C4 (Web Text))

Max Activating Token Index: 1010

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Text #7

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Data Index: 444612 (C4 (Web Text))

Max Activating Token Index: 898

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Text #8

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Data Index: 1308997 (C4 (Web Text))

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Text #9

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Data Index: 42617 (C4 (Web Text))

Max Activating Token Index: 839

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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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Data Index: 1065881 (C4 (Web Text))

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Text #14

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Data Index: 1037814 (C4 (Web Text))

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Text #15

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Data Index: 1396343 (Python Code)

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Text #16

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Text #17

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Data Index: 1551665 (Python Code)

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Text #18

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Data Index: 1192033 (C4 (Web Text))

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Text #19

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Data Index: 165586 (C4 (Web Text))

Max Activating Token Index: 804

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