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

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

Neuron 930 in Layer 1

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

Text #0

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Max Act: 0.0183. Min Act: -0.0005

Data Index: 1542348 (Python Code)

Max Activating Token Index: 130

Text #1

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Max Act: 0.0165. Min Act: -0.0006

Data Index: 1481190 (Python Code)

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Text #2

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Max Act: 0.0157. Min Act: -0.0005

Data Index: 1532033 (Python Code)

Max Activating Token Index: 982

Text #3

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Max Act: 0.0161. Min Act: -0.0005

Data Index: 1362042 (Python Code)

Max Activating Token Index: 994

Text #4

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Max Act: 0.0157. Min Act: -0.0006

Data Index: 1563278 (Python Code)

Max Activating Token Index: 15

Text #5

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Data Index: 1573176 (Python Code)

Max Activating Token Index: 497

Text #6

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Data Index: 1554544 (Python Code)

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Text #7

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Data Index: 1522199 (Python Code)

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Text #8

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Data Index: 1494453 (Python Code)

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Data Index: 1615941 (Python Code)

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Text #10

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Data Index: 1440735 (Python Code)

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Data Index: 1508199 (Python Code)

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Text #12

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Data Index: 1444312 (Python Code)

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Text #13

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Data Index: 1413329 (Python Code)

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Text #14

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Data Index: 1438585 (Python Code)

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Text #15

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Data Index: 1392795 (Python Code)

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Text #16

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Data Index: 1361115 (Python Code)

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Text #17

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Data Index: 1448170 (Python Code)

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Text #18

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Data Index: 1599047 (Python Code)

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Text #19

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Data Index: 1599060 (Python Code)

Max Activating Token Index: 904