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

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

Neuron 5071 in Layer 9

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: 0.8848. Min Act: -0.0000

Data Index: 410435 (C4 (Web Text))

Max Activating Token Index: 759

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Text #1

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Data Index: 859716 (C4 (Web Text))

Max Activating Token Index: 733

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Truncated

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Text #2

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Max Act: 0.6775. Min Act: -0.0000

Data Index: 1118886 (C4 (Web Text))

Max Activating Token Index: 886

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Text #3

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Data Index: 497186 (C4 (Web Text))

Max Activating Token Index: 261

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Truncated

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Text #4

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Max Act: 0.6812. Min Act: -0.0000

Data Index: 455605 (C4 (Web Text))

Max Activating Token Index: 910

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Truncated

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Text #5

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Data Index: 1136732 (C4 (Web Text))

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Text #6

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Data Index: 165326 (C4 (Web Text))

Max Activating Token Index: 956

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Text #7

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Data Index: 309289 (C4 (Web Text))

Max Activating Token Index: 283

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Truncated

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Text #8

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Data Index: 1117325 (C4 (Web Text))

Max Activating Token Index: 957

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Text #9

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Data Index: 1172758 (C4 (Web Text))

Max Activating Token Index: 910

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Text #10

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Data Index: 1214400 (C4 (Web Text))

Max Activating Token Index: 772

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Truncated

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Text #11

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Max Activating Token Index: 860

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Text #12

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Data Index: 1196208 (C4 (Web Text))

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Text #13

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Data Index: 200798 (C4 (Web Text))

Max Activating Token Index: 972

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Text #14

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Text #15

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Data Index: 793001 (C4 (Web Text))

Max Activating Token Index: 312

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Text #16

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Max Activating Token Index: 648

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Text #17

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Data Index: 851431 (C4 (Web Text))

Max Activating Token Index: 169

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Text #18

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Data Index: 1283460 (C4 (Web Text))

Max Activating Token Index: 668

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Text #19

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Data Index: 937620 (C4 (Web Text))

Max Activating Token Index: 111

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