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

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

Neuron 1265 in Layer 0

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

Text #0

Max Range: 0.0077. Min Range: -0.0077

Max Act: 0.0077. Min Act: -0.0004

Data Index: 1603459 (Python Code)

Max Activating Token Index: 558

Text #1

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Max Act: 0.0077. Min Act: -0.0004

Data Index: 1612539 (Python Code)

Max Activating Token Index: 755

Text #2

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Max Act: 0.0075. Min Act: -0.0003

Data Index: 1375039 (Python Code)

Max Activating Token Index: 812

Text #3

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Max Act: 0.0076. Min Act: -0.0003

Data Index: 1543579 (Python Code)

Max Activating Token Index: 110

Text #4

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Max Act: 0.0075. Min Act: -0.0004

Data Index: 1647841 (Python Code)

Max Activating Token Index: 303

Text #5

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Max Act: 0.0074. Min Act: -0.0004

Data Index: 1522850 (Python Code)

Max Activating Token Index: 277

Text #6

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Data Index: 1425591 (Python Code)

Max Activating Token Index: 643

Text #7

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Data Index: 1562285 (Python Code)

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Text #8

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Data Index: 1427445 (Python Code)

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Text #9

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Data Index: 1406701 (Python Code)

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Text #10

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Data Index: 1496039 (Python Code)

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Text #11

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Data Index: 1424066 (Python Code)

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Text #12

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Data Index: 244165 (C4 (Web Text))

Max Activating Token Index: 442

Text #13

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Data Index: 1541985 (Python Code)

Max Activating Token Index: 91

Text #14

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Data Index: 1500122 (Python Code)

Max Activating Token Index: 567

Text #15

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Data Index: 1299482 (C4 (Web Text))

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Text #16

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Data Index: 1541944 (Python Code)

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Text #17

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Data Index: 1419101 (Python Code)

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Text #18

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Data Index: 1446827 (Python Code)

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Text #19

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Max Act: 0.0073. Min Act: -0.0003

Data Index: 1510405 (Python Code)

Max Activating Token Index: 487