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

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

Neuron 5104 in Layer 8

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: 1.6365. Min Act: -0.0000

Data Index: 1545056 (Python Code)

Max Activating Token Index: 738

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Text #1

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Data Index: 1472887 (Python Code)

Max Activating Token Index: 866

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Text #2

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Max Act: 1.2697. Min Act: -0.0000

Data Index: 727169 (C4 (Web Text))

Max Activating Token Index: 262

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Text #3

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Data Index: 1367180 (Python Code)

Max Activating Token Index: 693

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Text #4

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Data Index: 1283338 (C4 (Web Text))

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Text #5

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Data Index: 894954 (C4 (Web Text))

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Text #6

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Data Index: 1266626 (C4 (Web Text))

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Text #7

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Data Index: 796274 (C4 (Web Text))

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Text #8

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Data Index: 623509 (C4 (Web Text))

Max Activating Token Index: 833

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Text #9

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Data Index: 1522877 (Python Code)

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Text #10

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Text #11

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Data Index: 1312125 (C4 (Web Text))

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Text #12

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Data Index: 1426026 (Python Code)

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Text #13

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Data Index: 408869 (C4 (Web Text))

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Text #14

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Data Index: 1525965 (Python Code)

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Text #15

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Text #16

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Text #17

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Data Index: 885520 (C4 (Web Text))

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Text #18

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Data Index: 159753 (C4 (Web Text))

Max Activating Token Index: 558

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Text #19

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Data Index: 1044723 (C4 (Web Text))

Max Activating Token Index: 574

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