Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1946 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

Max Range: 0.0127. Min Range: -0.0127

Max Act: 0.0127. Min Act: -0.0006

Data Index: 381637 (C4 (Web Text))

Max Activating Token Index: 654

Text #1

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Max Act: 0.0098. Min Act: -0.0006

Data Index: 1439667 (Python Code)

Max Activating Token Index: 334

Text #2

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Max Act: 0.0096. Min Act: -0.0006

Data Index: 1655810 (Python Code)

Max Activating Token Index: 169

Text #3

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Max Act: 0.0095. Min Act: -0.0006

Data Index: 1470258 (Python Code)

Max Activating Token Index: 105

Text #4

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Max Act: 0.0099. Min Act: -0.0006

Data Index: 391214 (C4 (Web Text))

Max Activating Token Index: 242

Text #5

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Max Act: 0.0092. Min Act: -0.0006

Data Index: 1487557 (Python Code)

Max Activating Token Index: 133

Text #6

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Data Index: 1450658 (Python Code)

Max Activating Token Index: 139

Text #7

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Data Index: 1253852 (C4 (Web Text))

Max Activating Token Index: 414

Text #8

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Data Index: 1532105 (Python Code)

Max Activating Token Index: 690

Text #9

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Data Index: 1506982 (Python Code)

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Text #10

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Data Index: 1464305 (Python Code)

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Text #11

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Data Index: 586269 (C4 (Web Text))

Max Activating Token Index: 340

Text #12

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Max Act: 0.0087. Min Act: -0.0006

Data Index: 1403105 (Python Code)

Max Activating Token Index: 126

Text #13

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Max Act: 0.0088. Min Act: -0.0006

Data Index: 1377173 (Python Code)

Max Activating Token Index: 249

Text #14

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Data Index: 1574310 (Python Code)

Max Activating Token Index: 83

Text #15

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Data Index: 1523995 (Python Code)

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Text #16

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Data Index: 1385555 (Python Code)

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Text #17

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Max Act: 0.0087. Min Act: -0.0006

Data Index: 1566547 (Python Code)

Max Activating Token Index: 151

Text #18

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Max Act: 0.0089. Min Act: -0.0006

Data Index: 1614907 (Python Code)

Max Activating Token Index: 169

Text #19

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Max Act: 0.0082. Min Act: -0.0006

Data Index: 1481662 (Python Code)

Max Activating Token Index: 50