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

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

Neuron 467 in Layer 0

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

Text #0

Max Range: 0.0164. Min Range: -0.0164

Max Act: 0.0164. Min Act: -0.0005

Data Index: 1567223 (Python Code)

Max Activating Token Index: 703

Text #1

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Max Act: 0.0164. Min Act: -0.0005

Data Index: 1479167 (Python Code)

Max Activating Token Index: 729

Text #2

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Max Act: 0.0159. Min Act: -0.0005

Data Index: 1614428 (Python Code)

Max Activating Token Index: 594

Text #3

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Max Act: 0.0159. Min Act: -0.0006

Data Index: 1648529 (Python Code)

Max Activating Token Index: 737

Text #4

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Max Act: 0.0154. Min Act: -0.0005

Data Index: 1370205 (Python Code)

Max Activating Token Index: 1023

Text #5

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Max Act: 0.0158. Min Act: -0.0005

Data Index: 1604661 (Python Code)

Max Activating Token Index: 598

Text #6

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Data Index: 1412031 (Python Code)

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Text #7

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Data Index: 1371712 (Python Code)

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Text #8

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Data Index: 1577389 (Python Code)

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Text #9

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Data Index: 1588852 (Python Code)

Max Activating Token Index: 1023

Text #10

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Data Index: 1570164 (Python Code)

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Text #11

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Data Index: 1572923 (Python Code)

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Text #12

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Data Index: 1523790 (Python Code)

Max Activating Token Index: 163

Text #13

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Data Index: 1556659 (Python Code)

Max Activating Token Index: 121

Text #14

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Data Index: 1369828 (Python Code)

Max Activating Token Index: 784

Text #15

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Data Index: 1499115 (Python Code)

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Text #16

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Data Index: 1452373 (Python Code)

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Text #17

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Data Index: 1477586 (Python Code)

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Text #18

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Data Index: 1589959 (Python Code)

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Text #19

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Max Act: 0.0147. Min Act: -0.0005

Data Index: 1413945 (Python Code)

Max Activating Token Index: 130