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

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

Neuron 3109 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0197. Min Act: -0.0002

Data Index: 1394803 (Python Code)

Max Activating Token Index: 35

Text #1

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Max Act: 0.0196. Min Act: -0.0002

Data Index: 1604656 (Python Code)

Max Activating Token Index: 141

Text #2

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Max Act: 0.0195. Min Act: -0.0002

Data Index: 1395230 (Python Code)

Max Activating Token Index: 757

Text #3

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Max Act: 0.0191. Min Act: -0.0002

Data Index: 1560647 (Python Code)

Max Activating Token Index: 9

Text #4

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Max Act: 0.0188. Min Act: -0.0002

Data Index: 1506845 (Python Code)

Max Activating Token Index: 8

Text #5

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Max Act: 0.0186. Min Act: -0.0002

Data Index: 1528720 (Python Code)

Max Activating Token Index: 159

Text #6

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Data Index: 1650283 (Python Code)

Max Activating Token Index: 373

Text #7

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Data Index: 1465729 (Python Code)

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Text #8

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Data Index: 1032300 (C4 (Web Text))

Max Activating Token Index: 745

Text #9

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Data Index: 1598071 (Python Code)

Max Activating Token Index: 101

Text #10

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Data Index: 1612119 (Python Code)

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Text #11

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Data Index: 1609143 (Python Code)

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Text #12

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Data Index: 1513039 (Python Code)

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Text #13

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Data Index: 1466744 (Python Code)

Max Activating Token Index: 12

Text #14

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Data Index: 1408968 (Python Code)

Max Activating Token Index: 590

Text #15

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Data Index: 1471355 (Python Code)

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Text #16

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Data Index: 1590632 (Python Code)

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Text #17

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Data Index: 1410370 (Python Code)

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Text #18

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Data Index: 1572877 (Python Code)

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Text #19

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Max Act: 0.0174. Min Act: -0.0002

Data Index: 1513762 (Python Code)

Max Activating Token Index: 98