Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 453 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0110. Min Act: -0.0002

Data Index: 1546221 (Python Code)

Max Activating Token Index: 813

Text #1

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Max Act: 0.0108. Min Act: -0.0002

Data Index: 1445995 (Python Code)

Max Activating Token Index: 10

Text #2

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Max Act: 0.0107. Min Act: -0.0002

Data Index: 1514400 (Python Code)

Max Activating Token Index: 282

Text #3

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Max Act: 0.0105. Min Act: -0.0002

Data Index: 463880 (C4 (Web Text))

Max Activating Token Index: 394

Text #4

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Max Act: 0.0107. Min Act: -0.0002

Data Index: 1617012 (Python Code)

Max Activating Token Index: 780

Text #5

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Max Act: 0.0105. Min Act: -0.0002

Data Index: 1370147 (Python Code)

Max Activating Token Index: 921

Text #6

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Data Index: 1548949 (Python Code)

Max Activating Token Index: 273

Text #7

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Data Index: 1448758 (Python Code)

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Text #8

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Data Index: 1592554 (Python Code)

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Text #9

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Data Index: 1563634 (Python Code)

Max Activating Token Index: 525

Text #10

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Data Index: 1530497 (Python Code)

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Text #11

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Data Index: 1561678 (Python Code)

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Text #12

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Data Index: 1617776 (Python Code)

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Text #13

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Data Index: 1631973 (Python Code)

Max Activating Token Index: 146

Text #14

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Data Index: 1552507 (Python Code)

Max Activating Token Index: 508

Text #15

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Data Index: 1560369 (Python Code)

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Text #16

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Data Index: 1538604 (Python Code)

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Text #17

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Data Index: 1498011 (Python Code)

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Text #18

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Data Index: 94353 (C4 (Web Text))

Max Activating Token Index: 729

Text #19

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Max Act: 0.0099. Min Act: -0.0002

Data Index: 1354658 (C4 (Web Text))

Max Activating Token Index: 233