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

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

Neuron 1803 in Layer 0

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

Text #0

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Max Act: 0.0120. Min Act: -0.0004

Data Index: 1643480 (Python Code)

Max Activating Token Index: 40

Text #1

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Max Act: 0.0119. Min Act: -0.0004

Data Index: 1531701 (Python Code)

Max Activating Token Index: 295

Text #2

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Max Act: 0.0115. Min Act: -0.0004

Data Index: 1624458 (Python Code)

Max Activating Token Index: 701

Text #3

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Max Act: 0.0113. Min Act: -0.0004

Data Index: 1527420 (Python Code)

Max Activating Token Index: 854

Text #4

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Max Act: 0.0112. Min Act: -0.0004

Data Index: 1505697 (Python Code)

Max Activating Token Index: 884

Text #5

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Max Act: 0.0109. Min Act: -0.0004

Data Index: 1584633 (Python Code)

Max Activating Token Index: 456

Text #6

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Data Index: 1519870 (Python Code)

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Text #7

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Data Index: 1592923 (Python Code)

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Text #8

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Data Index: 1632860 (Python Code)

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Text #9

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Data Index: 1585741 (Python Code)

Max Activating Token Index: 459

Text #10

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Data Index: 1527127 (Python Code)

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Text #11

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Data Index: 1495148 (Python Code)

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Text #12

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Data Index: 1548159 (Python Code)

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Text #13

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Data Index: 1582177 (Python Code)

Max Activating Token Index: 183

Text #14

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Data Index: 1641969 (Python Code)

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Text #15

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Data Index: 1546654 (Python Code)

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Text #16

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Data Index: 1554097 (Python Code)

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Text #17

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Data Index: 1391778 (Python Code)

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Text #18

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Data Index: 1448386 (Python Code)

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Text #19

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Data Index: 1367055 (Python Code)

Max Activating Token Index: 215