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

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

Neuron 60 in Layer 4

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: 1.9698. Min Act: -0.0001

Data Index: 729824 (C4 (Web Text))

Max Activating Token Index: 32

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Text #1

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Data Index: 1309179 (C4 (Web Text))

Max Activating Token Index: 343

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Text #2

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Data Index: 449859 (C4 (Web Text))

Max Activating Token Index: 302

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Text #3

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Data Index: 374524 (C4 (Web Text))

Max Activating Token Index: 190

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Text #4

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Data Index: 1279548 (C4 (Web Text))

Max Activating Token Index: 782

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Text #5

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Data Index: 313538 (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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Text #9

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Data Index: 527728 (C4 (Web Text))

Max Activating Token Index: 916

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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: 151202 (C4 (Web Text))

Max Activating Token Index: 492

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Text #19

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Max Activating Token Index: 461

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