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

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

Neuron 1833 in Layer 0

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

Text #0

Max Range: 0.0107. Min Range: -0.0107

Max Act: 0.0107. Min Act: -0.0005

Data Index: 1401385 (Python Code)

Max Activating Token Index: 279

Text #1

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Max Act: 0.0098. Min Act: -0.0005

Data Index: 1575380 (Python Code)

Max Activating Token Index: 140

Text #2

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Max Act: 0.0095. Min Act: -0.0006

Data Index: 1599802 (Python Code)

Max Activating Token Index: 264

Text #3

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Max Act: 0.0091. Min Act: -0.0005

Data Index: 1366709 (Python Code)

Max Activating Token Index: 102

Text #4

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Max Act: 0.0093. Min Act: -0.0005

Data Index: 1594102 (Python Code)

Max Activating Token Index: 8

Text #5

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Max Act: 0.0093. Min Act: -0.0006

Data Index: 1655709 (Python Code)

Max Activating Token Index: 245

Text #6

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Max Act: 0.0092. Min Act: -0.0005

Data Index: 1567231 (Python Code)

Max Activating Token Index: 177

Text #7

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Max Act: 0.0093. Min Act: -0.0006

Data Index: 1363682 (Python Code)

Max Activating Token Index: 436

Text #8

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Max Act: 0.0092. Min Act: -0.0005

Data Index: 1595723 (Python Code)

Max Activating Token Index: 262

Text #9

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Max Act: 0.0090. Min Act: -0.0006

Data Index: 1452776 (Python Code)

Max Activating Token Index: 169

Text #10

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Max Act: 0.0090. Min Act: -0.0006

Data Index: 1614603 (Python Code)

Max Activating Token Index: 158

Text #11

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Max Act: 0.0089. Min Act: -0.0005

Data Index: 1483513 (Python Code)

Max Activating Token Index: 160

Text #12

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Max Act: 0.0087. Min Act: -0.0005

Data Index: 1421136 (Python Code)

Max Activating Token Index: 229

Text #13

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Max Act: 0.0087. Min Act: -0.0005

Data Index: 1527897 (Python Code)

Max Activating Token Index: 614

Text #14

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Max Act: 0.0088. Min Act: -0.0005

Data Index: 1380842 (Python Code)

Max Activating Token Index: 468

Text #15

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Max Act: 0.0087. Min Act: -0.0005

Data Index: 1597550 (Python Code)

Max Activating Token Index: 587

Text #16

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Max Act: 0.0087. Min Act: -0.0005

Data Index: 1601270 (Python Code)

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Text #17

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Max Act: 0.0087. Min Act: -0.0006

Data Index: 1624312 (Python Code)

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Text #18

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Max Act: 0.0087. Min Act: -0.0005

Data Index: 1540271 (Python Code)

Max Activating Token Index: 196

Text #19

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Max Act: 0.0086. Min Act: -0.0006

Data Index: 1400459 (Python Code)

Max Activating Token Index: 385