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

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

Neuron 2057 in Layer 2

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: 0.0674. Min Act: -0.0002

Data Index: 1164014 (C4 (Web Text))

Max Activating Token Index: 211

Text #1

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Max Act: 0.0579. Min Act: -0.0002

Data Index: 1219705 (C4 (Web Text))

Max Activating Token Index: 26

Text #2

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Max Act: 0.0594. Min Act: -0.0002

Data Index: 407589 (C4 (Web Text))

Max Activating Token Index: 244

Text #3

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Max Act: 0.0407. Min Act: -0.0002

Data Index: 882489 (C4 (Web Text))

Max Activating Token Index: 179

Text #4

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Data Index: 72412 (C4 (Web Text))

Max Activating Token Index: 603

Text #5

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Data Index: 140257 (C4 (Web Text))

Max Activating Token Index: 145

Text #6

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Data Index: 307977 (C4 (Web Text))

Max Activating Token Index: 327

Text #7

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Max Activating Token Index: 890

Text #8

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Max Activating Token Index: 49

Text #9

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Max Activating Token Index: 294

Text #10

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Max Activating Token Index: 230

Text #11

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Max Activating Token Index: 400

Text #12

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Max Activating Token Index: 129

Text #13

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Max Activating Token Index: 168

Text #14

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Max Activating Token Index: 262

Text #15

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Text #16

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Max Activating Token Index: 763

Text #17

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Max Activating Token Index: 207

Text #18

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Data Index: 1259648 (C4 (Web Text))

Max Activating Token Index: 284

Text #19

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Max Act: 0.0438. Min Act: -0.0002

Data Index: 1376250 (Python Code)

Max Activating Token Index: 124