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

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

Neuron 4511 in Layer 3

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

Text #0

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Max Act: 0.9091. Min Act: -0.0001

Data Index: 1372745 (Python Code)

Max Activating Token Index: 192

Text #1

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Max Act: 0.8827. Min Act: -0.0001

Data Index: 1566676 (Python Code)

Max Activating Token Index: 173

Text #2

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Max Act: 0.8110. Min Act: -0.0001

Data Index: 1535328 (Python Code)

Max Activating Token Index: 538

Text #3

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Max Act: 0.9001. Min Act: -0.0001

Data Index: 1429949 (Python Code)

Max Activating Token Index: 681

Text #4

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Max Act: 0.8550. Min Act: -0.0001

Data Index: 1460751 (Python Code)

Max Activating Token Index: 172

Text #5

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Data Index: 1645734 (Python Code)

Max Activating Token Index: 488

Text #6

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Data Index: 1588720 (Python Code)

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Text #7

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Data Index: 1367913 (Python Code)

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Text #8

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Data Index: 1620980 (Python Code)

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Text #9

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Data Index: 1610180 (Python Code)

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Text #10

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Data Index: 1623781 (Python Code)

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Text #11

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Data Index: 1633675 (Python Code)

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Text #12

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Data Index: 1431220 (Python Code)

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Text #13

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Data Index: 1422918 (Python Code)

Max Activating Token Index: 508

Text #14

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Data Index: 1409891 (Python Code)

Max Activating Token Index: 360

Text #15

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Data Index: 1641799 (Python Code)

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Text #16

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Data Index: 1536434 (Python Code)

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Text #17

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Data Index: 1613613 (Python Code)

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Text #18

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Data Index: 1628777 (Python Code)

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Text #19

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Data Index: 1414732 (Python Code)

Max Activating Token Index: 630