Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 2458 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

Max Range: 0.0042. Min Range: -0.0042

Max Act: 0.0042. Min Act: -0.0003

Data Index: 1384043 (Python Code)

Max Activating Token Index: 859

Text #1

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Max Act: 0.0042. Min Act: -0.0003

Data Index: 1587920 (Python Code)

Max Activating Token Index: 191

Text #2

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Max Act: 0.0042. Min Act: -0.0003

Data Index: 1572997 (Python Code)

Max Activating Token Index: 238

Text #3

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Max Act: 0.0042. Min Act: -0.0003

Data Index: 1560411 (Python Code)

Max Activating Token Index: 872

Text #4

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Max Act: 0.0041. Min Act: -0.0003

Data Index: 1614731 (Python Code)

Max Activating Token Index: 233

Text #5

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Max Act: 0.0041. Min Act: -0.0003

Data Index: 1470702 (Python Code)

Max Activating Token Index: 937

Text #6

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Data Index: 1590208 (Python Code)

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Text #7

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Data Index: 1550962 (Python Code)

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Text #8

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Data Index: 1427041 (Python Code)

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Text #9

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Data Index: 1576639 (Python Code)

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Text #10

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Data Index: 1386158 (Python Code)

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Text #11

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Data Index: 1569374 (Python Code)

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Text #12

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Data Index: 1609993 (Python Code)

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Text #13

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Data Index: 1548333 (Python Code)

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Text #14

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Data Index: 1570119 (Python Code)

Max Activating Token Index: 551

Text #15

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Data Index: 1537836 (Python Code)

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Text #16

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Data Index: 1414812 (Python Code)

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Text #17

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Data Index: 1462735 (Python Code)

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Text #18

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Data Index: 1433301 (Python Code)

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Text #19

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Data Index: 1503642 (Python Code)

Max Activating Token Index: 310