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

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

Neuron 13 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: 2.6252. Min Act: -0.0001

Data Index: 4320 (C4 (Web Text))

Max Activating Token Index: 200

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Text #1

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Max Activating Token Index: 24

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Text #2

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Data Index: 961412 (C4 (Web Text))

Max Activating Token Index: 229

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Text #3

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Data Index: 712044 (C4 (Web Text))

Max Activating Token Index: 220

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Text #4

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Data Index: 369329 (C4 (Web Text))

Max Activating Token Index: 354

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Text #5

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Data Index: 958488 (C4 (Web Text))

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Text #6

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Data Index: 711640 (C4 (Web Text))

Max Activating Token Index: 942

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Text #7

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Text #8

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Data Index: 357141 (C4 (Web Text))

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Text #9

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Data Index: 1044823 (C4 (Web Text))

Max Activating Token Index: 264

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Text #10

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Text #11

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Text #12

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Data Index: 156995 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 441965 (C4 (Web Text))

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Text #15

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Data Index: 871897 (C4 (Web Text))

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Text #16

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Text #17

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Text #18

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Data Index: 278966 (C4 (Web Text))

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Text #19

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Data Index: 82338 (C4 (Web Text))

Max Activating Token Index: 244

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