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

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

Neuron 3224 in Layer 2

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: 0.0508. Min Act: -0.0002

Data Index: 42490 (C4 (Web Text))

Max Activating Token Index: 943

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Text #1

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Data Index: 127811 (C4 (Web Text))

Max Activating Token Index: 843

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Text #2

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Data Index: 150631 (C4 (Web Text))

Max Activating Token Index: 99

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Text #3

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Data Index: 783378 (C4 (Web Text))

Max Activating Token Index: 657

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Text #4

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Data Index: 726207 (C4 (Web Text))

Max Activating Token Index: 174

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Text #5

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Data Index: 404425 (C4 (Web Text))

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Text #6

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Text #7

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Text #8

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Text #9

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Data Index: 1461180 (Python Code)

Max Activating Token Index: 864

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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: 1435501 (Python Code)

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Text #16

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Text #17

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Data Index: 1151514 (C4 (Web Text))

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Text #18

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Data Index: 256022 (C4 (Web Text))

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Text #19

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Data Index: 387685 (C4 (Web Text))

Max Activating Token Index: 348

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