Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1193 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

Max Range: 0.0240. Min Range: -0.0240

Max Act: 0.0231. Min Act: -0.0004

Data Index: 1637378 (Python Code)

Max Activating Token Index: 800

Text #1

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Max Act: 0.0240. Min Act: -0.0003

Data Index: 1600220 (Python Code)

Max Activating Token Index: 290

Text #2

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Max Act: 0.0213. Min Act: -0.0003

Data Index: 1454807 (Python Code)

Max Activating Token Index: 642

Text #3

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Max Act: 0.0201. Min Act: -0.0004

Data Index: 1541691 (Python Code)

Max Activating Token Index: 143

Text #4

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Max Act: 0.0201. Min Act: -0.0004

Data Index: 1619028 (Python Code)

Max Activating Token Index: 9

Text #5

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Max Act: 0.0203. Min Act: -0.0004

Data Index: 1376742 (Python Code)

Max Activating Token Index: 24

Text #6

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Max Act: 0.0192. Min Act: -0.0003

Data Index: 1472003 (Python Code)

Max Activating Token Index: 20

Text #7

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Max Act: 0.0196. Min Act: -0.0004

Data Index: 1569900 (Python Code)

Max Activating Token Index: 800

Text #8

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Max Act: 0.0195. Min Act: -0.0004

Data Index: 1648671 (Python Code)

Max Activating Token Index: 53

Text #9

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Max Act: 0.0188. Min Act: -0.0004

Data Index: 1610554 (Python Code)

Max Activating Token Index: 4

Text #10

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Max Act: 0.0186. Min Act: -0.0004

Data Index: 1522268 (Python Code)

Max Activating Token Index: 239

Text #11

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Max Act: 0.0191. Min Act: -0.0004

Data Index: 1512921 (Python Code)

Max Activating Token Index: 429

Text #12

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Data Index: 1453835 (Python Code)

Max Activating Token Index: 445

Text #13

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Max Act: 0.0178. Min Act: -0.0004

Data Index: 1412798 (Python Code)

Max Activating Token Index: 41

Text #14

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Max Act: 0.0182. Min Act: -0.0004

Data Index: 1404758 (Python Code)

Max Activating Token Index: 573

Text #15

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Max Act: 0.0182. Min Act: -0.0004

Data Index: 1619457 (Python Code)

Max Activating Token Index: 236

Text #16

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Data Index: 1459216 (Python Code)

Max Activating Token Index: 468

Text #17

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Data Index: 1601459 (Python Code)

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Text #18

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Max Act: 0.0177. Min Act: -0.0004

Data Index: 1445967 (Python Code)

Max Activating Token Index: 679

Text #19

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Max Act: 0.0177. Min Act: -0.0003

Data Index: 1448921 (Python Code)

Max Activating Token Index: 335