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

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

Neuron 5010 in Layer 1

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: 0.0245. Min Act: -0.0003

Data Index: 537108 (C4 (Web Text))

Max Activating Token Index: 171

Text #1

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Data Index: 206501 (C4 (Web Text))

Max Activating Token Index: 676

Text #2

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Max Act: 0.0228. Min Act: -0.0003

Data Index: 357959 (C4 (Web Text))

Max Activating Token Index: 582

Text #3

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Max Act: 0.0217. Min Act: -0.0003

Data Index: 1196271 (C4 (Web Text))

Max Activating Token Index: 13

Text #4

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Max Act: 0.0224. Min Act: -0.0003

Data Index: 1131057 (C4 (Web Text))

Max Activating Token Index: 552

Text #5

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Max Act: 0.0203. Min Act: -0.0003

Data Index: 53734 (C4 (Web Text))

Max Activating Token Index: 820

Text #6

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Max Activating Token Index: 18

Text #7

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Max Activating Token Index: 1001

Text #8

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Max Activating Token Index: 314

Text #9

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Data Index: 558346 (C4 (Web Text))

Max Activating Token Index: 263

Text #10

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Max Activating Token Index: 276

Text #11

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Max Activating Token Index: 851

Text #12

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Data Index: 77958 (C4 (Web Text))

Max Activating Token Index: 241

Text #13

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Data Index: 1132362 (C4 (Web Text))

Max Activating Token Index: 308

Text #14

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Data Index: 336211 (C4 (Web Text))

Max Activating Token Index: 371

Text #15

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Max Activating Token Index: 468

Text #16

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Text #17

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Max Activating Token Index: 592

Text #18

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Data Index: 322221 (C4 (Web Text))

Max Activating Token Index: 288

Text #19

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Data Index: 1332632 (C4 (Web Text))

Max Activating Token Index: 264