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

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

Neuron 886 in Layer 0

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

Text #0

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Max Act: 0.0220. Min Act: -0.0006

Data Index: 1501112 (Python Code)

Max Activating Token Index: 691

Text #1

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Max Act: 0.0199. Min Act: -0.0005

Data Index: 1364493 (Python Code)

Max Activating Token Index: 13

Text #2

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Max Act: 0.0183. Min Act: -0.0005

Data Index: 1399368 (Python Code)

Max Activating Token Index: 618

Text #3

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Max Act: 0.0191. Min Act: -0.0005

Data Index: 1574090 (Python Code)

Max Activating Token Index: 716

Text #4

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Max Act: 0.0188. Min Act: -0.0006

Data Index: 1508480 (Python Code)

Max Activating Token Index: 495

Text #5

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Max Act: 0.0188. Min Act: -0.0005

Data Index: 1419930 (Python Code)

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Text #6

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Data Index: 1444395 (Python Code)

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Text #7

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Data Index: 1369964 (Python Code)

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Text #8

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Data Index: 1644538 (Python Code)

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Text #9

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Data Index: 1384409 (Python Code)

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Text #10

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Data Index: 1634365 (Python Code)

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Text #11

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Data Index: 1455240 (Python Code)

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Text #12

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Data Index: 1567660 (Python Code)

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Text #13

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Data Index: 1414555 (Python Code)

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Text #14

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Data Index: 1601104 (Python Code)

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Text #15

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Data Index: 1525100 (Python Code)

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Text #16

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Data Index: 1501343 (Python Code)

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Text #17

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Data Index: 1432442 (Python Code)

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Text #18

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Data Index: 1410896 (Python Code)

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Text #19

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Max Act: 0.0174. Min Act: -0.0006

Data Index: 1537477 (Python Code)

Max Activating Token Index: 913