Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1331 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0253. Min Act: -0.0006

Data Index: 1114259 (C4 (Web Text))

Max Activating Token Index: 295

Text #1

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Data Index: 29251 (C4 (Web Text))

Max Activating Token Index: 419

Text #2

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Max Act: 0.0255. Min Act: -0.0006

Data Index: 863093 (C4 (Web Text))

Max Activating Token Index: 629

Text #3

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Max Act: 0.0261. Min Act: -0.0006

Data Index: 1255714 (C4 (Web Text))

Max Activating Token Index: 892

Text #4

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Data Index: 552164 (C4 (Web Text))

Max Activating Token Index: 842

Text #5

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Max Activating Token Index: 790

Text #6

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Max Activating Token Index: 576

Text #7

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Text #8

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Max Activating Token Index: 863

Text #9

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Max Activating Token Index: 914

Text #10

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Max Activating Token Index: 1018

Text #11

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Max Activating Token Index: 493

Text #12

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Max Activating Token Index: 943

Text #13

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Max Activating Token Index: 965

Text #14

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Max Activating Token Index: 346

Text #15

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Max Activating Token Index: 351

Text #16

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Max Activating Token Index: 359

Text #17

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Max Activating Token Index: 289

Text #18

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Max Activating Token Index: 493

Text #19

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Data Index: 692005 (C4 (Web Text))

Max Activating Token Index: 887