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Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 2911 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

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Max Act: 0.2693. Min Act: -0.0001

Data Index: 788454 (C4 (Web Text))

Max Activating Token Index: 350

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Text #1

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Max Act: 0.2452. Min Act: -0.0001

Data Index: 271033 (C4 (Web Text))

Max Activating Token Index: 423

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Text #2

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Data Index: 487786 (C4 (Web Text))

Max Activating Token Index: 135

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Text #3

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Data Index: 522829 (C4 (Web Text))

Max Activating Token Index: 485

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Text #4

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Data Index: 1044395 (C4 (Web Text))

Max Activating Token Index: 833

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Text #5

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Data Index: 1282856 (C4 (Web Text))

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Text #6

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Data Index: 708725 (C4 (Web Text))

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Text #7

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Text #8

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Data Index: 1058046 (C4 (Web Text))

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Text #9

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Data Index: 1129011 (C4 (Web Text))

Max Activating Token Index: 951

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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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Text #16

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Text #17

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Data Index: 1636513 (Python Code)

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Text #18

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Data Index: 333881 (C4 (Web Text))

Max Activating Token Index: 514

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Text #19

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Data Index: 1163994 (C4 (Web Text))

Max Activating Token Index: 623

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