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

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

Neuron 5090 in Layer 7

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: 3.5181. Min Act: -0.0000

Data Index: 801647 (C4 (Web Text))

Max Activating Token Index: 518

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Text #1

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Max Activating Token Index: 56

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Text #2

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Data Index: 178787 (C4 (Web Text))

Max Activating Token Index: 240

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Text #3

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Data Index: 1007004 (C4 (Web Text))

Max Activating Token Index: 327

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Text #4

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Data Index: 179843 (C4 (Web Text))

Max Activating Token Index: 12

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Text #5

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Data Index: 23630 (C4 (Web Text))

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Text #6

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Text #7

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Text #8

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Data Index: 106054 (C4 (Web Text))

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Text #9

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Data Index: 912982 (C4 (Web Text))

Max Activating Token Index: 960

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Text #10

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Text #11

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Text #12

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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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Text #18

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Data Index: 858300 (C4 (Web Text))

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Text #19

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