Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1046 in Layer 3

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0534. Min Act: -0.0002

Data Index: 1535094 (Python Code)

Max Activating Token Index: 168

Text #1

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Max Act: 0.0507. Min Act: -0.0002

Data Index: 1548947 (Python Code)

Max Activating Token Index: 147

Text #2

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Max Act: 0.0513. Min Act: -0.0002

Data Index: 99625 (C4 (Web Text))

Max Activating Token Index: 238

Text #3

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Max Act: 0.0507. Min Act: -0.0002

Data Index: 1466085 (Python Code)

Max Activating Token Index: 155

Text #4

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Max Act: 0.0507. Min Act: -0.0002

Data Index: 1376100 (Python Code)

Max Activating Token Index: 490

Text #5

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Data Index: 1631290 (Python Code)

Max Activating Token Index: 531

Text #6

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Data Index: 1559147 (Python Code)

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Text #7

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Data Index: 1637109 (Python Code)

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Text #8

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Data Index: 1052228 (C4 (Web Text))

Max Activating Token Index: 162

Text #9

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Max Act: 0.0503. Min Act: -0.0002

Data Index: 953988 (C4 (Web Text))

Max Activating Token Index: 602

Text #10

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Data Index: 1454153 (Python Code)

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Text #11

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Data Index: 1622099 (Python Code)

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Text #12

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Data Index: 1565382 (Python Code)

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Text #13

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Data Index: 656821 (C4 (Web Text))

Max Activating Token Index: 529

Text #14

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Data Index: 1480724 (Python Code)

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Text #15

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Data Index: 1476794 (Python Code)

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Text #16

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Data Index: 1616032 (Python Code)

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Text #17

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Data Index: 1581491 (Python Code)

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Text #18

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Data Index: 1487579 (Python Code)

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Text #19

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Data Index: 500802 (C4 (Web Text))

Max Activating Token Index: 813