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

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

Neuron 2766 in Layer 0

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

Text #0

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Max Act: 0.0137. Min Act: -0.0003

Data Index: 1419942 (Python Code)

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0098. Min Act: -0.0003

Data Index: 1640208 (Python Code)

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0093. Min Act: -0.0003

Data Index: 1370514 (Python Code)

Max Activating Token Index: 1023

Text #3

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Max Act: 0.0083. Min Act: -0.0003

Data Index: 1471167 (Python Code)

Max Activating Token Index: 1023

Text #4

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Max Act: 0.0084. Min Act: -0.0003

Data Index: 1539148 (Python Code)

Max Activating Token Index: 732

Text #5

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Max Act: 0.0081. Min Act: -0.0003

Data Index: 1390434 (Python Code)

Max Activating Token Index: 1023

Text #6

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Data Index: 1520067 (Python Code)

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Text #7

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Data Index: 1531555 (Python Code)

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Text #8

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Data Index: 1564903 (Python Code)

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Text #9

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Data Index: 1447865 (Python Code)

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Text #10

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Data Index: 1595015 (Python Code)

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Text #11

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Data Index: 1516026 (Python Code)

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Text #12

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Data Index: 1497810 (Python Code)

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Text #13

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Max Act: 0.0075. Min Act: -0.0003

Data Index: 1548553 (Python Code)

Max Activating Token Index: 606

Text #14

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Data Index: 1423811 (Python Code)

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Text #15

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Data Index: 1567902 (Python Code)

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Text #16

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Data Index: 1647599 (Python Code)

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Text #17

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Data Index: 1599781 (Python Code)

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Text #18

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Data Index: 1474781 (Python Code)

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Text #19

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Max Act: 0.0073. Min Act: -0.0003

Data Index: 1645999 (Python Code)

Max Activating Token Index: 1023