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

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

Neuron 3582 in Layer 1

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

Text #0

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Max Act: 0.0160. Min Act: -0.0003

Data Index: 1548039 (Python Code)

Max Activating Token Index: 40

Text #1

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Max Act: 0.0141. Min Act: -0.0003

Data Index: 526434 (C4 (Web Text))

Max Activating Token Index: 312

Text #2

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Max Act: 0.0129. Min Act: -0.0002

Data Index: 1423316 (Python Code)

Max Activating Token Index: 75

Text #3

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Max Act: 0.0124. Min Act: -0.0003

Data Index: 34057 (C4 (Web Text))

Max Activating Token Index: 28

Text #4

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Max Act: 0.0122. Min Act: -0.0003

Data Index: 1556465 (Python Code)

Max Activating Token Index: 97

Text #5

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Max Act: 0.0110. Min Act: -0.0002

Data Index: 483708 (C4 (Web Text))

Max Activating Token Index: 260

Text #6

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Data Index: 1445455 (Python Code)

Max Activating Token Index: 56

Text #7

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Data Index: 1641948 (Python Code)

Max Activating Token Index: 126

Text #8

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Data Index: 1569415 (Python Code)

Max Activating Token Index: 75

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Data Index: 1596234 (Python Code)

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Text #10

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Data Index: 1439139 (Python Code)

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Text #11

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Data Index: 1478523 (Python Code)

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Text #12

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Data Index: 288374 (C4 (Web Text))

Max Activating Token Index: 147

Text #13

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Data Index: 87020 (C4 (Web Text))

Max Activating Token Index: 392

Text #14

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Data Index: 1601652 (Python Code)

Max Activating Token Index: 112

Text #15

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Data Index: 1420859 (Python Code)

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Text #16

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Data Index: 1470438 (Python Code)

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Text #17

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Data Index: 1389018 (Python Code)

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Text #18

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Data Index: 1438075 (Python Code)

Max Activating Token Index: 41

Text #19

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Data Index: 1626376 (Python Code)

Max Activating Token Index: 334