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Model: SoLU Model: 1 Layers, 2048 Neurons per Layer

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

Neuron 1889 in Layer 0

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Hooked Transformer Loading: HookedTransformer.from_pretrained('solu-1l')

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Text #0

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Max Act: 0.0168. Min Act: 0.0000

Data Index: 1655493 (Python Code)

Max Activating Token Index: 963

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Text #1

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Max Act: 0.0152. Min Act: -0.0002

Data Index: 1587822 (Python Code)

Max Activating Token Index: 209

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Text #2

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Max Act: 0.0149. Min Act: -0.0002

Data Index: 1433098 (Python Code)

Max Activating Token Index: 129

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Text #3

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Max Act: 0.0150. Min Act: -0.0002

Data Index: 1567938 (Python Code)

Max Activating Token Index: 454

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Text #4

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Data Index: 1465010 (Python Code)

Max Activating Token Index: 211

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Text #5

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Data Index: 1450783 (Python Code)

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Data Index: 1645843 (Python Code)

Max Activating Token Index: 209

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Text #7

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Data Index: 1403231 (Python Code)

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Text #8

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Data Index: 1620468 (Python Code)

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Text #9

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Data Index: 1397165 (Python Code)

Max Activating Token Index: 954

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Text #10

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Data Index: 1398558 (Python Code)

Max Activating Token Index: 315

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Text #11

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Data Index: 1574798 (Python Code)

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Text #12

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Data Index: 1436029 (Python Code)

Max Activating Token Index: 424

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Data Index: 1552865 (Python Code)

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Text #14

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Data Index: 1526059 (Python Code)

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Text #15

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Data Index: 1487199 (Python Code)

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Text #16

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Data Index: 1503622 (Python Code)

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Text #17

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Data Index: 1579832 (Python Code)

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Text #18

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Data Index: 1510362 (Python Code)

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Text #19

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Data Index: 1594456 (Python Code)

Max Activating Token Index: 986

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