Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1780 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

Max Range: 0.0190. Min Range: -0.0190

Max Act: 0.0190. Min Act: -0.0006

Data Index: 1612307 (Python Code)

Max Activating Token Index: 209

Text #1

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Max Act: 0.0172. Min Act: -0.0006

Data Index: 1556397 (Python Code)

Max Activating Token Index: 336

Text #2

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Max Act: 0.0171. Min Act: -0.0005

Data Index: 1376294 (Python Code)

Max Activating Token Index: 1023

Text #3

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Max Act: 0.0174. Min Act: -0.0006

Data Index: 1496271 (Python Code)

Max Activating Token Index: 635

Text #4

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Max Act: 0.0168. Min Act: -0.0005

Data Index: 1627886 (Python Code)

Max Activating Token Index: 543

Text #5

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Max Act: 0.0168. Min Act: -0.0005

Data Index: 1581794 (Python Code)

Max Activating Token Index: 770

Text #6

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Max Act: 0.0162. Min Act: -0.0006

Data Index: 1392847 (Python Code)

Max Activating Token Index: 597

Text #7

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Data Index: 1365187 (Python Code)

Max Activating Token Index: 409

Text #8

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Data Index: 1414727 (Python Code)

Max Activating Token Index: 1023

Text #9

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Max Act: 0.0158. Min Act: -0.0006

Data Index: 1385440 (Python Code)

Max Activating Token Index: 267

Text #10

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Data Index: 1399629 (Python Code)

Max Activating Token Index: 705

Text #11

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Data Index: 1608160 (Python Code)

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Text #12

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Data Index: 1546005 (Python Code)

Max Activating Token Index: 394

Text #13

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Data Index: 1447432 (Python Code)

Max Activating Token Index: 383

Text #14

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Max Act: 0.0156. Min Act: -0.0006

Data Index: 1472700 (Python Code)

Max Activating Token Index: 153

Text #15

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Data Index: 1474252 (Python Code)

Max Activating Token Index: 874

Text #16

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Data Index: 1360792 (Python Code)

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Text #17

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Data Index: 1424727 (Python Code)

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Text #18

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Data Index: 1420094 (Python Code)

Max Activating Token Index: 1023

Text #19

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Max Act: 0.0147. Min Act: -0.0005

Data Index: 1520584 (Python Code)

Max Activating Token Index: 630