Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 673 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0135. Min Act: -0.0006

Data Index: 1438296 (Python Code)

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0132. Min Act: -0.0006

Data Index: 238421 (C4 (Web Text))

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0132. Min Act: -0.0006

Data Index: 1560001 (Python Code)

Max Activating Token Index: 1023

Text #3

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Max Act: 0.0122. Min Act: -0.0006

Data Index: 1472512 (Python Code)

Max Activating Token Index: 1023

Text #4

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Max Act: 0.0114. Min Act: -0.0006

Data Index: 1585625 (Python Code)

Max Activating Token Index: 1023

Text #5

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Data Index: 1495944 (Python Code)

Max Activating Token Index: 1023

Text #6

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Data Index: 1456964 (Python Code)

Max Activating Token Index: 1023

Text #7

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Data Index: 228708 (C4 (Web Text))

Max Activating Token Index: 1023

Text #8

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Data Index: 877372 (C4 (Web Text))

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Text #9

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Data Index: 1414109 (Python Code)

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Text #10

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Data Index: 1497772 (Python Code)

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Text #11

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Data Index: 1553285 (Python Code)

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Text #12

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Data Index: 1458965 (Python Code)

Max Activating Token Index: 1023

Text #13

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Data Index: 1344293 (C4 (Web Text))

Max Activating Token Index: 1023

Text #14

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Data Index: 1581657 (Python Code)

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Text #15

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Data Index: 1400907 (Python Code)

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Text #16

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Text #17

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Data Index: 495548 (C4 (Web Text))

Max Activating Token Index: 1023

Text #18

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Data Index: 1622036 (Python Code)

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Text #19

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Data Index: 1619875 (Python Code)

Max Activating Token Index: 1023