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

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

Neuron 4853 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: 0.0160. Min Act: -0.0002

Data Index: 771521 (C4 (Web Text))

Max Activating Token Index: 270

Text #1

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Max Activating Token Index: 583

Text #2

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Max Act: 0.0144. Min Act: -0.0002

Data Index: 785903 (C4 (Web Text))

Max Activating Token Index: 491

Text #3

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Max Act: 0.0136. Min Act: -0.0002

Data Index: 679228 (C4 (Web Text))

Max Activating Token Index: 450

Text #4

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Data Index: 1310028 (C4 (Web Text))

Max Activating Token Index: 224

Text #5

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Data Index: 1350005 (C4 (Web Text))

Max Activating Token Index: 537

Text #6

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Data Index: 474606 (C4 (Web Text))

Max Activating Token Index: 645

Text #7

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Max Activating Token Index: 205

Text #8

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Max Activating Token Index: 114

Text #9

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Max Activating Token Index: 945

Text #10

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Data Index: 38921 (C4 (Web Text))

Max Activating Token Index: 550

Text #11

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Max Activating Token Index: 27

Text #12

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Max Activating Token Index: 57

Text #13

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Data Index: 457160 (C4 (Web Text))

Max Activating Token Index: 917

Text #14

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Max Activating Token Index: 884

Text #15

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Max Activating Token Index: 392

Text #16

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Text #17

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Max Activating Token Index: 740

Text #18

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Data Index: 1192414 (C4 (Web Text))

Max Activating Token Index: 109

Text #19

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Data Index: 426593 (C4 (Web Text))

Max Activating Token Index: 963