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

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

Neuron 725 in Layer 9

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 0.8968. Min Act: -0.0000

Data Index: 1547404 (Python Code)

Max Activating Token Index: 245

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Text #1

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Data Index: 1486889 (Python Code)

Max Activating Token Index: 395

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Text #2

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Max Act: 1.2042. Min Act: -0.0000

Data Index: 1492077 (Python Code)

Max Activating Token Index: 252

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Text #3

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Max Act: 1.2066. Min Act: -0.0000

Data Index: 1369687 (Python Code)

Max Activating Token Index: 504

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Text #4

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Data Index: 1557192 (Python Code)

Max Activating Token Index: 628

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Data Index: 1454977 (Python Code)

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Data Index: 1626456 (Python Code)

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Text #7

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Data Index: 741340 (C4 (Web Text))

Max Activating Token Index: 277

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Text #8

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Data Index: 1420524 (Python Code)

Max Activating Token Index: 425

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Text #9

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Data Index: 1554502 (Python Code)

Max Activating Token Index: 756

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Text #10

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Data Index: 1469291 (Python Code)

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Text #11

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Data Index: 1494077 (Python Code)

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Data Index: 1502129 (Python Code)

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Data Index: 1624202 (Python Code)

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Text #16

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Data Index: 1504826 (Python Code)

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Text #17

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Data Index: 1485992 (Python Code)

Max Activating Token Index: 86

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Text #18

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Data Index: 1169157 (C4 (Web Text))

Max Activating Token Index: 121

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Text #19

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Data Index: 1623413 (Python Code)

Max Activating Token Index: 968

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