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

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

Neuron 5067 in Layer 5

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: 3.0858. Min Act: -0.0001

Data Index: 982043 (C4 (Web Text))

Max Activating Token Index: 643

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Text #1

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Data Index: 700016 (C4 (Web Text))

Max Activating Token Index: 139

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Text #2

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Max Act: 2.8425. Min Act: -0.0000

Data Index: 291961 (C4 (Web Text))

Max Activating Token Index: 641

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Text #3

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Data Index: 1178316 (C4 (Web Text))

Max Activating Token Index: 778

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Text #4

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Max Act: 3.1164. Min Act: -0.0000

Data Index: 1169743 (C4 (Web Text))

Max Activating Token Index: 937

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Text #5

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Data Index: 1336100 (C4 (Web Text))

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Text #6

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Data Index: 408092 (C4 (Web Text))

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Text #7

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Data Index: 706860 (C4 (Web Text))

Max Activating Token Index: 332

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Text #8

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Data Index: 1060937 (C4 (Web Text))

Max Activating Token Index: 398

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Text #9

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Data Index: 1232926 (C4 (Web Text))

Max Activating Token Index: 370

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Text #10

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Data Index: 540575 (C4 (Web Text))

Max Activating Token Index: 397

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Text #11

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Text #12

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Data Index: 843413 (C4 (Web Text))

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Text #13

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Data Index: 878225 (C4 (Web Text))

Max Activating Token Index: 637

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Text #14

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Text #15

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Data Index: 537702 (C4 (Web Text))

Max Activating Token Index: 438

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Text #16

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Text #17

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Data Index: 1205561 (C4 (Web Text))

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Text #18

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Data Index: 477840 (C4 (Web Text))

Max Activating Token Index: 503

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Text #19

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Data Index: 129779 (C4 (Web Text))

Max Activating Token Index: 498

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