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

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

Neuron 988 in Layer 0

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

Text #0

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Max Act: 0.0245. Min Act: -0.0004

Data Index: 1542345 (Python Code)

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0183. Min Act: -0.0005

Data Index: 1482349 (Python Code)

Max Activating Token Index: 1023

Text #2

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Data Index: 1440450 (Python Code)

Max Activating Token Index: 1023

Text #3

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Max Act: 0.0183. Min Act: -0.0005

Data Index: 1450571 (Python Code)

Max Activating Token Index: 1023

Text #4

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Max Act: 0.0177. Min Act: -0.0005

Data Index: 1578279 (Python Code)

Max Activating Token Index: 1023

Text #5

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Data Index: 1382373 (Python Code)

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Text #6

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Data Index: 1408100 (Python Code)

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Text #7

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Data Index: 1531427 (Python Code)

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Text #8

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Data Index: 1401474 (Python Code)

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Data Index: 1597731 (Python Code)

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Text #10

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Data Index: 1643783 (Python Code)

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Text #11

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Data Index: 1411497 (Python Code)

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Text #12

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Data Index: 1484607 (Python Code)

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Text #13

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Data Index: 1556927 (Python Code)

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Text #14

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Data Index: 1514464 (Python Code)

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Text #15

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Data Index: 1373135 (Python Code)

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Text #16

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Text #17

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Data Index: 1633963 (Python Code)

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Text #18

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Data Index: 1438993 (Python Code)

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Text #19

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Data Index: 1403370 (Python Code)

Max Activating Token Index: 1023