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

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

Neuron 4154 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: 0.0609. Min Act: -0.0002

Data Index: 255500 (C4 (Web Text))

Max Activating Token Index: 457

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Text #1

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Data Index: 1381685 (Python Code)

Max Activating Token Index: 379

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Text #2

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Max Act: 0.0546. Min Act: -0.0002

Data Index: 847434 (C4 (Web Text))

Max Activating Token Index: 391

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Text #3

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Data Index: 187666 (C4 (Web Text))

Max Activating Token Index: 427

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Text #4

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Data Index: 782125 (C4 (Web Text))

Max Activating Token Index: 751

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Text #5

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Data Index: 1013797 (C4 (Web Text))

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Text #6

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Data Index: 1203431 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 1430054 (Python Code)

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Text #9

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Data Index: 1168463 (C4 (Web Text))

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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: 1059931 (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: 123619 (C4 (Web Text))

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Text #19

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Data Index: 35449 (C4 (Web Text))

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