Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 2042 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0760. Min Act: -0.0001

Data Index: 785613 (C4 (Web Text))

Max Activating Token Index: 561

Text #1

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Data Index: 970036 (C4 (Web Text))

Max Activating Token Index: 553

Text #2

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Max Act: 0.0641. Min Act: -0.0001

Data Index: 100357 (C4 (Web Text))

Max Activating Token Index: 935

Text #3

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Max Act: 0.0667. Min Act: -0.0002

Data Index: 627823 (C4 (Web Text))

Max Activating Token Index: 712

Text #4

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Data Index: 160574 (C4 (Web Text))

Max Activating Token Index: 966

Text #5

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Max Activating Token Index: 740

Text #6

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Data Index: 332879 (C4 (Web Text))

Max Activating Token Index: 133

Text #7

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Max Activating Token Index: 734

Text #8

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Max Activating Token Index: 28

Text #9

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Max Activating Token Index: 887

Text #10

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Max Activating Token Index: 764

Text #11

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Data Index: 255393 (C4 (Web Text))

Max Activating Token Index: 444

Text #12

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Max Activating Token Index: 227

Text #13

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Max Activating Token Index: 435

Text #14

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Data Index: 477397 (C4 (Web Text))

Max Activating Token Index: 104

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 322

Text #18

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Max Activating Token Index: 766

Text #19

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Data Index: 700785 (C4 (Web Text))

Max Activating Token Index: 45