Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 2004 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Data Index: 58862 (C4 (Web Text))

Max Activating Token Index: 310

Text #1

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Data Index: 712313 (C4 (Web Text))

Max Activating Token Index: 637

Text #2

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Max Act: 0.0155. Min Act: -0.0006

Data Index: 1094125 (C4 (Web Text))

Max Activating Token Index: 873

Text #3

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Max Act: 0.0148. Min Act: -0.0006

Data Index: 1145585 (C4 (Web Text))

Max Activating Token Index: 122

Text #4

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Data Index: 407837 (C4 (Web Text))

Max Activating Token Index: 566

Text #5

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Data Index: 710391 (C4 (Web Text))

Max Activating Token Index: 168

Text #6

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Data Index: 138610 (C4 (Web Text))

Max Activating Token Index: 650

Text #7

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Max Activating Token Index: 220

Text #8

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Max Activating Token Index: 479

Text #9

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Max Activating Token Index: 479

Text #10

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Max Activating Token Index: 726

Text #11

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Data Index: 165374 (C4 (Web Text))

Max Activating Token Index: 271

Text #12

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Max Activating Token Index: 80

Text #13

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Max Activating Token Index: 109

Text #14

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Max Activating Token Index: 526

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 617

Text #18

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Text #19

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Data Index: 1264600 (C4 (Web Text))

Max Activating Token Index: 921