Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 3033 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0121. Min Act: -0.0003

Data Index: 1617979 (Python Code)

Max Activating Token Index: 568

Text #1

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Max Act: 0.0114. Min Act: -0.0003

Data Index: 1499012 (Python Code)

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0108. Min Act: -0.0003

Data Index: 1631860 (Python Code)

Max Activating Token Index: 596

Text #3

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Max Act: 0.0108. Min Act: -0.0003

Data Index: 1540954 (Python Code)

Max Activating Token Index: 491

Text #4

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Max Act: 0.0106. Min Act: -0.0003

Data Index: 1536164 (Python Code)

Max Activating Token Index: 345

Text #5

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Max Act: 0.0100. Min Act: -0.0003

Data Index: 1468676 (Python Code)

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Text #6

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Data Index: 1638829 (Python Code)

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Text #7

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Data Index: 1467242 (Python Code)

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Text #8

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Data Index: 1555446 (Python Code)

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Text #9

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Data Index: 1504008 (Python Code)

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Text #10

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Data Index: 1609954 (Python Code)

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Text #11

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Data Index: 1386813 (Python Code)

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Text #12

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Data Index: 225396 (C4 (Web Text))

Max Activating Token Index: 644

Text #13

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Data Index: 1400402 (Python Code)

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Text #14

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Data Index: 1527451 (Python Code)

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Text #15

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Data Index: 1480877 (Python Code)

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Text #16

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Data Index: 1569761 (Python Code)

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Text #17

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Data Index: 1624111 (Python Code)

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Text #18

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Data Index: 1583693 (Python Code)

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Text #19

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Data Index: 1555195 (Python Code)

Max Activating Token Index: 718