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

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

Neuron 1200 in Layer 3

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: 0.0579. Min Act: -0.0001

Data Index: 779936 (C4 (Web Text))

Max Activating Token Index: 812

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Text #1

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Data Index: 719284 (C4 (Web Text))

Max Activating Token Index: 194

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Text #2

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Data Index: 725759 (C4 (Web Text))

Max Activating Token Index: 128

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Text #3

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Data Index: 59359 (C4 (Web Text))

Max Activating Token Index: 240

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Text #4

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Data Index: 960199 (C4 (Web Text))

Max Activating Token Index: 266

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Text #5

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Data Index: 827878 (C4 (Web Text))

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Text #6

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Data Index: 315851 (C4 (Web Text))

Max Activating Token Index: 675

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Text #7

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Text #8

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Data Index: 687174 (C4 (Web Text))

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Text #9

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Data Index: 940221 (C4 (Web Text))

Max Activating Token Index: 793

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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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Data Index: 644142 (C4 (Web Text))

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Text #18

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Data Index: 35626 (C4 (Web Text))

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Text #19

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Data Index: 1494432 (Python Code)

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