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

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

Neuron 1922 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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Max Act: 0.0108. Min Act: -0.0006

Data Index: 750779 (C4 (Web Text))

Max Activating Token Index: 689

Text #1

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Max Act: 0.0099. Min Act: -0.0006

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Max Activating Token Index: 1000

Text #2

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Max Act: 0.0095. Min Act: -0.0006

Data Index: 441534 (C4 (Web Text))

Max Activating Token Index: 486

Text #3

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Max Act: 0.0095. Min Act: -0.0006

Data Index: 614426 (C4 (Web Text))

Max Activating Token Index: 371

Text #4

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Max Act: 0.0092. Min Act: -0.0006

Data Index: 363855 (C4 (Web Text))

Max Activating Token Index: 1019

Text #5

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Max Act: 0.0091. Min Act: -0.0006

Data Index: 487846 (C4 (Web Text))

Max Activating Token Index: 267

Text #6

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Max Activating Token Index: 936

Text #7

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Max Activating Token Index: 328

Text #8

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Max Activating Token Index: 66

Text #9

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Max Activating Token Index: 638

Text #10

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Data Index: 1196296 (C4 (Web Text))

Max Activating Token Index: 229

Text #11

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Max Activating Token Index: 126

Text #12

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Max Activating Token Index: 945

Text #13

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Max Activating Token Index: 746

Text #14

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Text #15

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Max Activating Token Index: 1002

Text #16

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Max Activating Token Index: 222

Text #17

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Max Activating Token Index: 514

Text #18

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Max Activating Token Index: 136

Text #19

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Data Index: 416219 (C4 (Web Text))

Max Activating Token Index: 421