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

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

Neuron 2254 in Layer 0

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

Text #0

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Max Act: 0.0170. Min Act: -0.0002

Data Index: 1557641 (Python Code)

Max Activating Token Index: 988

Text #1

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Max Act: 0.0165. Min Act: -0.0002

Data Index: 1423040 (Python Code)

Max Activating Token Index: 9

Text #2

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Max Act: 0.0165. Min Act: -0.0002

Data Index: 1596075 (Python Code)

Max Activating Token Index: 903

Text #3

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Max Act: 0.0158. Min Act: -0.0002

Data Index: 1584825 (Python Code)

Max Activating Token Index: 31

Text #4

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Max Act: 0.0159. Min Act: -0.0002

Data Index: 1399215 (Python Code)

Max Activating Token Index: 944

Text #5

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Max Act: 0.0152. Min Act: -0.0002

Data Index: 1517294 (Python Code)

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Text #6

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Data Index: 1382559 (Python Code)

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Text #7

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Data Index: 1572319 (Python Code)

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Text #8

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Data Index: 1452530 (Python Code)

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Text #9

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Data Index: 1497944 (Python Code)

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Text #10

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Data Index: 1557167 (Python Code)

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Text #11

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Data Index: 1559027 (Python Code)

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Text #12

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Data Index: 1420309 (Python Code)

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Text #13

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Data Index: 1394118 (Python Code)

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Text #14

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Data Index: 1453886 (Python Code)

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Text #15

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Data Index: 1616031 (Python Code)

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Text #16

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Data Index: 1553415 (Python Code)

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Text #17

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Data Index: 1523816 (Python Code)

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Text #18

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Data Index: 1582687 (Python Code)

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Text #19

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Data Index: 1371287 (Python Code)

Max Activating Token Index: 32