Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 5089 in Layer 9

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

Max Range: 1.3141. Min Range: -1.3141

Max Act: 1.3141. Min Act: -0.0000

Data Index: 1089714 (C4 (Web Text))

Max Activating Token Index: 764

Text #1

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Max Act: 0.9549. Min Act: -0.0000

Data Index: 1480418 (Python Code)

Max Activating Token Index: 225

Text #2

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Max Act: 0.8659. Min Act: -0.0000

Data Index: 1646727 (Python Code)

Max Activating Token Index: 57

Text #3

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Max Act: 0.8448. Min Act: -0.0000

Data Index: 1621443 (Python Code)

Max Activating Token Index: 545

Text #4

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Max Act: 0.7920. Min Act: -0.0000

Data Index: 843624 (C4 (Web Text))

Max Activating Token Index: 921

Text #5

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Data Index: 1504235 (Python Code)

Max Activating Token Index: 907

Text #6

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Data Index: 342667 (C4 (Web Text))

Max Activating Token Index: 657

Text #7

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Data Index: 1443998 (Python Code)

Max Activating Token Index: 400

Text #8

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Data Index: 1553455 (Python Code)

Max Activating Token Index: 274

Text #9

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Data Index: 1604205 (Python Code)

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Text #10

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Data Index: 1655044 (Python Code)

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Text #11

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Data Index: 1635750 (Python Code)

Max Activating Token Index: 408

Text #12

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Data Index: 1380982 (Python Code)

Max Activating Token Index: 422

Text #13

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Data Index: 599826 (C4 (Web Text))

Max Activating Token Index: 145

Text #14

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Data Index: 1423151 (Python Code)

Max Activating Token Index: 141

Text #15

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Data Index: 1448537 (Python Code)

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Text #16

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Data Index: 1651458 (Python Code)

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Text #17

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Data Index: 1466958 (Python Code)

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Text #18

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Data Index: 1053411 (C4 (Web Text))

Max Activating Token Index: 419

Text #19

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Max Act: 0.7515. Min Act: -0.0000

Data Index: 1548477 (Python Code)

Max Activating Token Index: 948