Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 2895 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

Max Range: 0.0091. Min Range: -0.0091

Max Act: 0.0091. Min Act: -0.0002

Data Index: 1568209 (Python Code)

Max Activating Token Index: 24

Text #1

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Max Act: 0.0088. Min Act: -0.0002

Data Index: 1632866 (Python Code)

Max Activating Token Index: 85

Text #2

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Max Act: 0.0087. Min Act: -0.0002

Data Index: 1637599 (Python Code)

Max Activating Token Index: 956

Text #3

Max Range: 0.0091. Min Range: -0.0091

Max Act: 0.0087. Min Act: -0.0002

Data Index: 1651161 (Python Code)

Max Activating Token Index: 48

Text #4

Max Range: 0.0091. Min Range: -0.0091

Max Act: 0.0086. Min Act: -0.0002

Data Index: 1505025 (Python Code)

Max Activating Token Index: 17

Text #5

Max Range: 0.0091. Min Range: -0.0091

Max Act: 0.0085. Min Act: -0.0002

Data Index: 1590182 (Python Code)

Max Activating Token Index: 159

Text #6

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Max Act: 0.0085. Min Act: -0.0002

Data Index: 1644514 (Python Code)

Max Activating Token Index: 45

Text #7

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Max Act: 0.0085. Min Act: -0.0002

Data Index: 1626561 (Python Code)

Max Activating Token Index: 844

Text #8

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Max Act: 0.0085. Min Act: -0.0002

Data Index: 1400456 (Python Code)

Max Activating Token Index: 19

Text #9

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Max Act: 0.0086. Min Act: -0.0002

Data Index: 1500944 (Python Code)

Max Activating Token Index: 231

Text #10

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Max Act: 0.0084. Min Act: -0.0002

Data Index: 1387106 (Python Code)

Max Activating Token Index: 90

Text #11

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Max Act: 0.0084. Min Act: -0.0002

Data Index: 1464580 (Python Code)

Max Activating Token Index: 144

Text #12

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Max Act: 0.0083. Min Act: -0.0002

Data Index: 1608447 (Python Code)

Max Activating Token Index: 111

Text #13

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Max Act: 0.0085. Min Act: -0.0002

Data Index: 1549636 (Python Code)

Max Activating Token Index: 773

Text #14

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Max Act: 0.0083. Min Act: -0.0002

Data Index: 1632008 (Python Code)

Max Activating Token Index: 10

Text #15

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Max Act: 0.0081. Min Act: -0.0002

Data Index: 1620672 (Python Code)

Max Activating Token Index: 33

Text #16

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Max Act: 0.0083. Min Act: -0.0002

Data Index: 1618579 (Python Code)

Max Activating Token Index: 936

Text #17

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Max Act: 0.0083. Min Act: -0.0002

Data Index: 1623744 (Python Code)

Max Activating Token Index: 747

Text #18

Max Range: 0.0091. Min Range: -0.0091

Max Act: 0.0082. Min Act: -0.0002

Data Index: 1565768 (Python Code)

Max Activating Token Index: 39

Text #19

Max Range: 0.0091. Min Range: -0.0091

Max Act: 0.0082. Min Act: -0.0002

Data Index: 1541094 (Python Code)

Max Activating Token Index: 630