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

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

Neuron 33 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: 0.0710. Min Act: -0.0001

Data Index: 427180 (C4 (Web Text))

Max Activating Token Index: 305

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Text #1

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Data Index: 600438 (C4 (Web Text))

Max Activating Token Index: 226

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Truncated

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Text #2

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Data Index: 1345344 (C4 (Web Text))

Max Activating Token Index: 21

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Text #3

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Data Index: 1268966 (C4 (Web Text))

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Truncated

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Text #4

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Data Index: 542080 (C4 (Web Text))

Max Activating Token Index: 103

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Truncated

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Text #5

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Data Index: 419497 (C4 (Web Text))

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Text #6

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Data Index: 388060 (C4 (Web Text))

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Text #7

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Truncated

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Text #8

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Data Index: 1240715 (C4 (Web Text))

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Text #9

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Data Index: 1217323 (C4 (Web Text))

Max Activating Token Index: 159

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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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Data Index: 187660 (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: 928412 (C4 (Web Text))

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Text #19

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Data Index: 756471 (C4 (Web Text))

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