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

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

Neuron 1134 in Layer 0

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



Text #0

Max Range: 0.0073. Min Range: -0.0073

Max Act: 0.0073. Min Act: -0.0004

Data Index: 1416899 (Python Code)

Max Activating Token Index: 233

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Text #1

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Max Act: 0.0072. Min Act: -0.0004

Data Index: 1389408 (Python Code)

Max Activating Token Index: 605

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Text #2

Max Range: 0.0073. Min Range: -0.0073

Max Act: 0.0071. Min Act: -0.0004

Data Index: 1380254 (Python Code)

Max Activating Token Index: 523

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Text #3

Max Range: 0.0073. Min Range: -0.0073

Max Act: 0.0069. Min Act: -0.0005

Data Index: 237220 (C4 (Web Text))

Max Activating Token Index: 333

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Text #4

Max Range: 0.0073. Min Range: -0.0073

Max Act: 0.0070. Min Act: -0.0005

Data Index: 1262047 (C4 (Web Text))

Max Activating Token Index: 813

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Text #5

Max Range: 0.0073. Min Range: -0.0073

Max Act: 0.0069. Min Act: -0.0004

Data Index: 1432721 (Python Code)

Max Activating Token Index: 639

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Text #6

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Max Act: 0.0068. Min Act: -0.0004

Data Index: 1401318 (Python Code)

Max Activating Token Index: 640

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Text #7

Max Range: 0.0073. Min Range: -0.0073

Max Act: 0.0067. Min Act: -0.0004

Data Index: 1583604 (Python Code)

Max Activating Token Index: 390

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Text #8

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Max Act: 0.0066. Min Act: -0.0004

Data Index: 1521143 (Python Code)

Max Activating Token Index: 77

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Text #9

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Max Act: 0.0066. Min Act: -0.0004

Data Index: 1380900 (Python Code)

Max Activating Token Index: 202

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Text #10

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Max Act: 0.0066. Min Act: -0.0004

Data Index: 1573044 (Python Code)

Max Activating Token Index: 744

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Text #11

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Max Act: 0.0066. Min Act: -0.0003

Data Index: 1370533 (Python Code)

Max Activating Token Index: 445

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Text #12

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Data Index: 1483574 (Python Code)

Max Activating Token Index: 231

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Text #13

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Max Act: 0.0066. Min Act: -0.0004

Data Index: 1411374 (Python Code)

Max Activating Token Index: 446

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Text #14

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Max Act: 0.0066. Min Act: -0.0004

Data Index: 1557505 (Python Code)

Max Activating Token Index: 896

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Text #15

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Max Act: 0.0066. Min Act: -0.0003

Data Index: 1610314 (Python Code)

Max Activating Token Index: 231

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Text #16

Max Range: 0.0073. Min Range: -0.0073

Max Act: 0.0068. Min Act: -0.0004

Data Index: 1598028 (Python Code)

Max Activating Token Index: 886

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Text #17

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Max Act: 0.0066. Min Act: -0.0004

Data Index: 1512395 (Python Code)

Max Activating Token Index: 69

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Text #18

Max Range: 0.0073. Min Range: -0.0073

Max Act: 0.0066. Min Act: -0.0004

Data Index: 1501791 (Python Code)

Max Activating Token Index: 348

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Text #19

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Max Act: 0.0065. Min Act: -0.0004

Data Index: 1404812 (Python Code)

Max Activating Token Index: 600

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