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

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

Neuron 409 in Layer 0

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

Text #0

Max Range: 0.0068. Min Range: -0.0068

Max Act: 0.0068. Min Act: -0.0004

Data Index: 1535470 (Python Code)

Max Activating Token Index: 50

Text #1

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Max Act: 0.0067. Min Act: -0.0004

Data Index: 1598459 (Python Code)

Max Activating Token Index: 256

Text #2

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Max Act: 0.0066. Min Act: -0.0004

Data Index: 1522754 (Python Code)

Max Activating Token Index: 239

Text #3

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Max Act: 0.0065. Min Act: -0.0004

Data Index: 1384610 (Python Code)

Max Activating Token Index: 192

Text #4

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Max Act: 0.0066. Min Act: -0.0004

Data Index: 1466531 (Python Code)

Max Activating Token Index: 256

Text #5

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Max Act: 0.0065. Min Act: -0.0004

Data Index: 1417531 (Python Code)

Max Activating Token Index: 106

Text #6

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Max Act: 0.0064. Min Act: -0.0004

Data Index: 1615713 (Python Code)

Max Activating Token Index: 332

Text #7

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Data Index: 1467896 (Python Code)

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Text #8

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Data Index: 1551257 (Python Code)

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Text #9

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Data Index: 1477586 (Python Code)

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Text #10

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Data Index: 1513019 (Python Code)

Max Activating Token Index: 231

Text #11

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Data Index: 1437462 (Python Code)

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Text #12

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Data Index: 1559272 (Python Code)

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Text #13

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Data Index: 1383769 (Python Code)

Max Activating Token Index: 140

Text #14

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Data Index: 1447745 (Python Code)

Max Activating Token Index: 151

Text #15

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Data Index: 1562681 (Python Code)

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Text #16

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Data Index: 1556413 (Python Code)

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Text #17

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Data Index: 1425543 (Python Code)

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Text #18

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Data Index: 735964 (C4 (Web Text))

Max Activating Token Index: 509

Text #19

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Max Act: 0.0061. Min Act: -0.0004

Data Index: 1448137 (Python Code)

Max Activating Token Index: 524