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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 38 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



Text #0

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Max Act: 0.0909. Min Act: -0.0005

Data Index: 1264634 (C4 (Web Text))

Max Activating Token Index: 1018

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Text #1

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Data Index: 638155 (C4 (Web Text))

Max Activating Token Index: 362

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Text #2

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Max Act: 0.0899. Min Act: -0.0005

Data Index: 61809 (C4 (Web Text))

Max Activating Token Index: 104

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Text #3

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Data Index: 918033 (C4 (Web Text))

Max Activating Token Index: 896

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Truncated

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Text #4

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Data Index: 936757 (C4 (Web Text))

Max Activating Token Index: 235

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Text #5

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Data Index: 700579 (C4 (Web Text))

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Text #6

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Data Index: 185140 (C4 (Web Text))

Max Activating Token Index: 238

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Truncated

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Text #7

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Data Index: 1121113 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 689495 (C4 (Web Text))

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Text #9

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Data Index: 378054 (C4 (Web Text))

Max Activating Token Index: 445

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Text #10

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Text #11

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Text #12

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Data Index: 680711 (C4 (Web Text))

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Text #13

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Text #14

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Text #15

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Text #16

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Text #17

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Data Index: 1048968 (C4 (Web Text))

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Text #18

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Max Act: 0.0743. Min Act: -0.0005

Data Index: 592778 (C4 (Web Text))

Max Activating Token Index: 430

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Text #19

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Data Index: 939047 (C4 (Web Text))

Max Activating Token Index: 191

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