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

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

Neuron 728 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: 0.0917. Min Act: -0.0001

Data Index: 720362 (C4 (Web Text))

Max Activating Token Index: 964

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Text #1

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Max Act: 0.0584. Min Act: -0.0001

Data Index: 427933 (C4 (Web Text))

Max Activating Token Index: 143

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Truncated

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Text #2

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Max Act: 0.0599. Min Act: -0.0001

Data Index: 1647154 (Python Code)

Max Activating Token Index: 334

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Text #3

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Max Act: 0.0527. Min Act: -0.0001

Data Index: 489298 (C4 (Web Text))

Max Activating Token Index: 678

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Truncated

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Text #4

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Max Act: 0.0512. Min Act: -0.0001

Data Index: 877171 (C4 (Web Text))

Max Activating Token Index: 165

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Text #5

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Data Index: 795189 (C4 (Web Text))

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Text #6

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Data Index: 1451085 (Python Code)

Max Activating Token Index: 904

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Text #7

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Data Index: 612838 (C4 (Web Text))

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Truncated

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Text #8

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Data Index: 524738 (C4 (Web Text))

Max Activating Token Index: 773

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Text #9

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Data Index: 823980 (C4 (Web Text))

Max Activating Token Index: 765

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Text #10

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Data Index: 341399 (C4 (Web Text))

Max Activating Token Index: 842

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Text #11

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Text #12

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Data Index: 434690 (C4 (Web Text))

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Text #13

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Data Index: 1001974 (C4 (Web Text))

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Text #14

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Data Index: 1224565 (C4 (Web Text))

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Text #15

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Data Index: 801550 (C4 (Web Text))

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Text #16

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Data Index: 1089829 (C4 (Web Text))

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Text #17

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Data Index: 875441 (C4 (Web Text))

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Text #18

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Data Index: 609492 (C4 (Web Text))

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Text #19

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Data Index: 652430 (C4 (Web Text))

Max Activating Token Index: 658

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