Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1574 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

Max Range: 0.0091. Min Range: -0.0091

Max Act: 0.0091. Min Act: -0.0004

Data Index: 1398973 (Python Code)

Max Activating Token Index: 14

Text #1

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Max Act: 0.0090. Min Act: -0.0004

Data Index: 1616813 (Python Code)

Max Activating Token Index: 12

Text #2

Max Range: 0.0091. Min Range: -0.0091

Max Act: 0.0089. Min Act: -0.0004

Data Index: 1390598 (Python Code)

Max Activating Token Index: 17

Text #3

Max Range: 0.0091. Min Range: -0.0091

Max Act: 0.0088. Min Act: -0.0004

Data Index: 1506066 (Python Code)

Max Activating Token Index: 155

Text #4

Max Range: 0.0091. Min Range: -0.0091

Max Act: 0.0088. Min Act: -0.0004

Data Index: 1431825 (Python Code)

Max Activating Token Index: 513

Text #5

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Max Act: 0.0088. Min Act: -0.0004

Data Index: 1412401 (Python Code)

Max Activating Token Index: 569

Text #6

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Max Act: 0.0087. Min Act: -0.0004

Data Index: 1567966 (Python Code)

Max Activating Token Index: 12

Text #7

Max Range: 0.0091. Min Range: -0.0091

Max Act: 0.0087. Min Act: -0.0004

Data Index: 1631691 (Python Code)

Max Activating Token Index: 322

Text #8

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Max Act: 0.0087. Min Act: -0.0004

Data Index: 1623329 (Python Code)

Max Activating Token Index: 368

Text #9

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Max Act: 0.0085. Min Act: -0.0004

Data Index: 1378613 (Python Code)

Max Activating Token Index: 25

Text #10

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Max Act: 0.0085. Min Act: -0.0004

Data Index: 1444946 (Python Code)

Max Activating Token Index: 33

Text #11

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Max Act: 0.0085. Min Act: -0.0004

Data Index: 1611769 (Python Code)

Max Activating Token Index: 30

Text #12

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Max Act: 0.0085. Min Act: -0.0004

Data Index: 1599944 (Python Code)

Max Activating Token Index: 58

Text #13

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Max Act: 0.0085. Min Act: -0.0004

Data Index: 1642151 (Python Code)

Max Activating Token Index: 58

Text #14

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Max Act: 0.0084. Min Act: -0.0004

Data Index: 1447475 (Python Code)

Max Activating Token Index: 92

Text #15

Max Range: 0.0091. Min Range: -0.0091

Max Act: 0.0084. Min Act: -0.0004

Data Index: 1484571 (Python Code)

Max Activating Token Index: 129

Text #16

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Max Act: 0.0083. Min Act: -0.0004

Data Index: 1575755 (Python Code)

Max Activating Token Index: 10

Text #17

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Max Act: 0.0083. Min Act: -0.0004

Data Index: 1596885 (Python Code)

Max Activating Token Index: 34

Text #18

Max Range: 0.0091. Min Range: -0.0091

Max Act: 0.0083. Min Act: -0.0004

Data Index: 1373885 (Python Code)

Max Activating Token Index: 53

Text #19

Max Range: 0.0091. Min Range: -0.0091

Max Act: 0.0084. Min Act: -0.0004

Data Index: 1413443 (Python Code)

Max Activating Token Index: 24