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

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

Neuron 1979 in Layer 1

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0247. Min Act: -0.0003

Data Index: 608007 (C4 (Web Text))

Max Activating Token Index: 775

Text #1

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Max Act: 0.0243. Min Act: -0.0003

Data Index: 970347 (C4 (Web Text))

Max Activating Token Index: 101

Text #2

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Max Act: 0.0216. Min Act: -0.0003

Data Index: 231658 (C4 (Web Text))

Max Activating Token Index: 335

Text #3

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Max Act: 0.0214. Min Act: -0.0003

Data Index: 355875 (C4 (Web Text))

Max Activating Token Index: 286

Text #4

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Max Act: 0.0194. Min Act: -0.0003

Data Index: 1102503 (C4 (Web Text))

Max Activating Token Index: 385

Text #5

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Max Act: 0.0192. Min Act: -0.0003

Data Index: 275612 (C4 (Web Text))

Max Activating Token Index: 170

Text #6

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Max Activating Token Index: 526

Text #7

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Max Activating Token Index: 282

Text #8

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Data Index: 164059 (C4 (Web Text))

Max Activating Token Index: 501

Text #9

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Data Index: 737043 (C4 (Web Text))

Max Activating Token Index: 64

Text #10

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Max Activating Token Index: 102

Text #11

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Max Activating Token Index: 252

Text #12

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Data Index: 54274 (C4 (Web Text))

Max Activating Token Index: 482

Text #13

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Data Index: 1219468 (C4 (Web Text))

Max Activating Token Index: 72

Text #14

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Max Activating Token Index: 60

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 612

Text #18

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Max Activating Token Index: 215

Text #19

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Max Act: 0.0173. Min Act: -0.0003

Data Index: 27201 (C4 (Web Text))

Max Activating Token Index: 104