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

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

Neuron 3 in Layer 8

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: 2.7593. Min Act: -0.0000

Data Index: 1266260 (C4 (Web Text))

Max Activating Token Index: 209

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Text #1

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Data Index: 78184 (C4 (Web Text))

Max Activating Token Index: 82

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Text #2

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Data Index: 1253019 (C4 (Web Text))

Max Activating Token Index: 481

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Text #3

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Data Index: 162006 (C4 (Web Text))

Max Activating Token Index: 362

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Text #4

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Data Index: 788298 (C4 (Web Text))

Max Activating Token Index: 752

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Text #5

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Data Index: 1033568 (C4 (Web Text))

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Text #6

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Max Activating Token Index: 803

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Text #7

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Truncated

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Text #8

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Data Index: 868982 (C4 (Web Text))

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Text #9

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Data Index: 703441 (C4 (Web Text))

Max Activating Token Index: 530

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Text #10

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Max Activating Token Index: 848

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Text #11

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Text #12

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Data Index: 1183215 (C4 (Web Text))

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Text #13

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Max Activating Token Index: 484

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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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Text #17

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Text #18

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Data Index: 16294 (C4 (Web Text))

Max Activating Token Index: 153

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Text #19

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Data Index: 1287163 (C4 (Web Text))

Max Activating Token Index: 952

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