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

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

Neuron 18 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: 0.0782. Min Act: -0.0000

Data Index: 8528 (C4 (Web Text))

Max Activating Token Index: 663

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Text #1

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Data Index: 110241 (C4 (Web Text))

Max Activating Token Index: 57

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Text #2

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Data Index: 451433 (C4 (Web Text))

Max Activating Token Index: 508

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Text #3

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Data Index: 597501 (C4 (Web Text))

Max Activating Token Index: 1012

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Truncated

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Text #4

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Data Index: 363106 (C4 (Web Text))

Max Activating Token Index: 621

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Truncated

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Text #5

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Data Index: 654695 (C4 (Web Text))

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Text #6

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Data Index: 1018732 (C4 (Web Text))

Max Activating Token Index: 897

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Truncated

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Text #7

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Truncated

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Text #8

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Max Activating Token Index: 447

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Text #9

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Data Index: 1057214 (C4 (Web Text))

Max Activating Token Index: 440

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Truncated

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Text #10

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Truncated

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Text #11

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Truncated

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Text #12

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Text #13

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Truncated

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Text #14

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Text #15

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Text #16

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Truncated

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Text #17

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Data Index: 304952 (C4 (Web Text))

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Text #18

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Data Index: 1248243 (C4 (Web Text))

Max Activating Token Index: 419

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Truncated

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Text #19

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Data Index: 1089022 (C4 (Web Text))

Max Activating Token Index: 950

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