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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 43 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



Text #0

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Max Act: 0.0482. Min Act: -0.0005

Data Index: 1470467 (Python Code)

Max Activating Token Index: 5

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Text #1

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Data Index: 1632648 (Python Code)

Max Activating Token Index: 4

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Text #2

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Max Act: 0.0410. Min Act: -0.0005

Data Index: 1374528 (Python Code)

Max Activating Token Index: 9

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Text #3

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Max Act: 0.0357. Min Act: -0.0005

Data Index: 1521558 (Python Code)

Max Activating Token Index: 12

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Text #4

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Data Index: 1550491 (Python Code)

Max Activating Token Index: 5

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Text #5

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Max Act: 0.0177. Min Act: -0.0005

Data Index: 1157009 (C4 (Web Text))

Max Activating Token Index: 12

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Text #6

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Data Index: 1575636 (Python Code)

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Text #7

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Data Index: 58903 (C4 (Web Text))

Max Activating Token Index: 9

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Text #8

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Data Index: 1409000 (Python Code)

Max Activating Token Index: 6

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Text #9

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Data Index: 1190954 (C4 (Web Text))

Max Activating Token Index: 13

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Text #10

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Data Index: 1522261 (Python Code)

Max Activating Token Index: 5

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Text #11

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Data Index: 1224478 (C4 (Web Text))

Max Activating Token Index: 2

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Text #12

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Data Index: 859642 (C4 (Web Text))

Max Activating Token Index: 13

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Text #13

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Data Index: 162835 (C4 (Web Text))

Max Activating Token Index: 10

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Text #14

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Data Index: 1641725 (Python Code)

Max Activating Token Index: 2

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Text #15

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Data Index: 1361118 (Python Code)

Max Activating Token Index: 4

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Text #16

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Data Index: 724494 (C4 (Web Text))

Max Activating Token Index: 10

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Text #17

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Data Index: 1642199 (Python Code)

Max Activating Token Index: 9

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Text #18

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Max Act: 0.0107. Min Act: -0.0005

Data Index: 449123 (C4 (Web Text))

Max Activating Token Index: 7

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Text #19

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Max Act: 0.0106. Min Act: -0.0005

Data Index: 1586659 (Python Code)

Max Activating Token Index: 34

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