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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 4055 in Layer 6

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

Max Range: 2.2004. Min Range: -2.2004

Max Act: 2.2004. Min Act: -0.0000

Data Index: 66631 (C4 (Web Text))

Max Activating Token Index: 534

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Text #1

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Data Index: 1084654 (C4 (Web Text))

Max Activating Token Index: 899

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Text #2

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Data Index: 606738 (C4 (Web Text))

Max Activating Token Index: 122

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Text #3

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Data Index: 990307 (C4 (Web Text))

Max Activating Token Index: 920

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Text #4

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Data Index: 1038994 (C4 (Web Text))

Max Activating Token Index: 208

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Text #5

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Data Index: 759787 (C4 (Web Text))

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Text #6

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Data Index: 924678 (C4 (Web Text))

Max Activating Token Index: 539

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Text #7

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Data Index: 128267 (C4 (Web Text))

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Text #8

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Data Index: 1323776 (C4 (Web Text))

Max Activating Token Index: 844

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Text #9

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Data Index: 464704 (C4 (Web Text))

Max Activating Token Index: 568

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Text #10

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Data Index: 797477 (C4 (Web Text))

Max Activating Token Index: 735

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Text #11

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Data Index: 940948 (C4 (Web Text))

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Text #12

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Data Index: 485156 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 554954 (C4 (Web Text))

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Text #15

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Text #16

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Text #17

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Data Index: 847950 (C4 (Web Text))

Max Activating Token Index: 677

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Text #18

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Data Index: 445221 (C4 (Web Text))

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Text #19

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Data Index: 773382 (C4 (Web Text))

Max Activating Token Index: 703

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