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

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

Neuron 869 in Layer 9

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: 3.9989. Min Act: -0.0000

Data Index: 1044857 (C4 (Web Text))

Max Activating Token Index: 913

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Text #1

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Data Index: 393312 (C4 (Web Text))

Max Activating Token Index: 126

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Text #2

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Max Act: 3.7200. Min Act: -0.0000

Data Index: 208876 (C4 (Web Text))

Max Activating Token Index: 897

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Text #3

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Data Index: 889672 (C4 (Web Text))

Max Activating Token Index: 660

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Text #4

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Data Index: 97047 (C4 (Web Text))

Max Activating Token Index: 905

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Text #5

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Data Index: 840747 (C4 (Web Text))

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Text #6

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Data Index: 132728 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 1106114 (C4 (Web Text))

Max Activating Token Index: 839

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Text #9

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Data Index: 407231 (C4 (Web Text))

Max Activating Token Index: 370

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Text #10

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Data Index: 167799 (C4 (Web Text))

Max Activating Token Index: 648

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Text #11

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Text #12

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Max Activating Token Index: 916

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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: 1392216 (Python Code)

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Text #18

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Data Index: 1589334 (Python Code)

Max Activating Token Index: 643

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Text #19

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Data Index: 1596870 (Python Code)

Max Activating Token Index: 957

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