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

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

Neuron 497 in Layer 0

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

Text #0

Max Range: 0.0242. Min Range: -0.0242

Max Act: 0.0242. Min Act: -0.0006

Data Index: 1410126 (Python Code)

Max Activating Token Index: 958

Text #1

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Max Act: 0.0238. Min Act: -0.0006

Data Index: 1507033 (Python Code)

Max Activating Token Index: 855

Text #2

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Max Act: 0.0234. Min Act: -0.0006

Data Index: 1379219 (Python Code)

Max Activating Token Index: 695

Text #3

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Max Act: 0.0230. Min Act: -0.0005

Data Index: 1648418 (Python Code)

Max Activating Token Index: 369

Text #4

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Max Act: 0.0225. Min Act: -0.0006

Data Index: 1483500 (Python Code)

Max Activating Token Index: 1023

Text #5

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Max Act: 0.0224. Min Act: -0.0005

Data Index: 1506223 (Python Code)

Max Activating Token Index: 434

Text #6

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Max Act: 0.0215. Min Act: -0.0006

Data Index: 1510858 (Python Code)

Max Activating Token Index: 483

Text #7

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Data Index: 1610447 (Python Code)

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Text #8

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Data Index: 1651384 (Python Code)

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Text #9

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Data Index: 1614469 (Python Code)

Max Activating Token Index: 1023

Text #10

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Data Index: 1472336 (Python Code)

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Text #11

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Data Index: 1632943 (Python Code)

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Text #12

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Data Index: 1380683 (Python Code)

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Text #13

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Data Index: 1593948 (Python Code)

Max Activating Token Index: 492

Text #14

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Data Index: 1426141 (Python Code)

Max Activating Token Index: 878

Text #15

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Data Index: 1594265 (Python Code)

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Text #16

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Data Index: 1472126 (Python Code)

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Text #17

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Data Index: 1606285 (Python Code)

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Text #18

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Data Index: 1424278 (Python Code)

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Text #19

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Max Act: 0.0212. Min Act: -0.0005

Data Index: 1458538 (Python Code)

Max Activating Token Index: 1023