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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 46 in Layer 5

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 3.4295. Min Act: -0.0000

Data Index: 662837 (C4 (Web Text))

Max Activating Token Index: 699

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Text #1

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Data Index: 1047279 (C4 (Web Text))

Max Activating Token Index: 52

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Text #2

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Data Index: 592337 (C4 (Web Text))

Max Activating Token Index: 800

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Text #3

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Max Act: 2.3920. Min Act: -0.0000

Data Index: 457614 (C4 (Web Text))

Max Activating Token Index: 637

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Text #4

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Data Index: 794360 (C4 (Web Text))

Max Activating Token Index: 61

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Text #5

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Data Index: 1013361 (C4 (Web Text))

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Text #6

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Data Index: 322170 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 1294942 (C4 (Web Text))

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Text #9

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Data Index: 120224 (C4 (Web Text))

Max Activating Token Index: 498

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Text #10

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Data Index: 1238861 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 218196 (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: 1129664 (C4 (Web Text))

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Text #18

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Max Act: 2.0555. Min Act: -0.0000

Data Index: 351568 (C4 (Web Text))

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Text #19

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Data Index: 1204497 (C4 (Web Text))

Max Activating Token Index: 125

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