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

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

Neuron 5014 in Layer 2

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: 0.0348. Min Act: -0.0002

Data Index: 649873 (C4 (Web Text))

Max Activating Token Index: 442

Text #1

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Data Index: 987650 (C4 (Web Text))

Max Activating Token Index: 397

Text #2

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Data Index: 209418 (C4 (Web Text))

Max Activating Token Index: 542

Text #3

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Data Index: 320128 (C4 (Web Text))

Max Activating Token Index: 240

Text #4

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Data Index: 1173760 (C4 (Web Text))

Max Activating Token Index: 971

Text #5

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Data Index: 192529 (C4 (Web Text))

Max Activating Token Index: 813

Text #6

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Max Activating Token Index: 644

Text #7

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Text #9

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Max Activating Token Index: 655

Text #10

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Data Index: 834020 (C4 (Web Text))

Max Activating Token Index: 376

Text #11

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Max Activating Token Index: 223

Text #12

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Max Activating Token Index: 436

Text #13

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Data Index: 532463 (C4 (Web Text))

Max Activating Token Index: 277

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 396

Text #17

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Max Activating Token Index: 611

Text #18

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Text #19

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Data Index: 166606 (C4 (Web Text))

Max Activating Token Index: 496