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

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

Neuron 1356 in Layer 0

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

Text #0

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Max Act: 0.0230. Min Act: -0.0006

Data Index: 1634769 (Python Code)

Max Activating Token Index: 297

Text #1

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Max Act: 0.0225. Min Act: -0.0005

Data Index: 1381264 (Python Code)

Max Activating Token Index: 247

Text #2

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Max Act: 0.0202. Min Act: -0.0005

Data Index: 1486058 (Python Code)

Max Activating Token Index: 100

Text #3

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Max Act: 0.0199. Min Act: -0.0005

Data Index: 1568812 (Python Code)

Max Activating Token Index: 30

Text #4

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Max Act: 0.0202. Min Act: -0.0006

Data Index: 1489666 (Python Code)

Max Activating Token Index: 12

Text #5

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Max Act: 0.0190. Min Act: -0.0006

Data Index: 1459114 (Python Code)

Max Activating Token Index: 748

Text #6

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Data Index: 1387201 (Python Code)

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Text #7

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Data Index: 1456965 (Python Code)

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Text #8

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Data Index: 1518948 (Python Code)

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Text #9

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Data Index: 1504629 (Python Code)

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Text #10

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Data Index: 1581703 (Python Code)

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Text #11

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Data Index: 1490047 (Python Code)

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Text #12

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Data Index: 1378947 (Python Code)

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Text #13

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Data Index: 1631134 (Python Code)

Max Activating Token Index: 520

Text #14

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Data Index: 1366028 (Python Code)

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Text #15

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Data Index: 1427289 (Python Code)

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Text #16

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Data Index: 1553539 (Python Code)

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Text #17

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Data Index: 1367557 (Python Code)

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Text #18

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Data Index: 1651598 (Python Code)

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Text #19

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Max Act: 0.0178. Min Act: -0.0006

Data Index: 1461282 (Python Code)

Max Activating Token Index: 106