Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 765 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0128. Min Act: -0.0006

Data Index: 1564419 (Python Code)

Max Activating Token Index: 982

Text #1

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Max Act: 0.0126. Min Act: -0.0005

Data Index: 1414952 (Python Code)

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Text #2

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Max Act: 0.0125. Min Act: -0.0006

Data Index: 1592931 (Python Code)

Max Activating Token Index: 310

Text #3

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Max Act: 0.0122. Min Act: -0.0005

Data Index: 1456214 (Python Code)

Max Activating Token Index: 196

Text #4

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Max Act: 0.0120. Min Act: -0.0005

Data Index: 1386073 (Python Code)

Max Activating Token Index: 718

Text #5

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Data Index: 1518308 (Python Code)

Max Activating Token Index: 500

Text #6

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Data Index: 1454628 (Python Code)

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Text #7

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Data Index: 1529969 (Python Code)

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Text #8

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Data Index: 1601290 (Python Code)

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Text #9

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Data Index: 1472898 (Python Code)

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Text #10

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Data Index: 1553315 (Python Code)

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Text #11

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Data Index: 1621403 (Python Code)

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Text #12

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Data Index: 1512553 (Python Code)

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Text #13

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Data Index: 1514486 (Python Code)

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Text #14

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Data Index: 1407739 (Python Code)

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Text #15

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Data Index: 1415814 (Python Code)

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Text #16

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Data Index: 1546732 (Python Code)

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Text #17

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Data Index: 1560475 (Python Code)

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Text #18

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Data Index: 1638779 (Python Code)

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Text #19

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Data Index: 1422136 (Python Code)

Max Activating Token Index: 161