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

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

Neuron 1981 in Layer 2

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See Documentation here

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

Text #0

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Max Act: 0.0589. Min Act: -0.0002

Data Index: 1639485 (Python Code)

Max Activating Token Index: 268

Text #1

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Max Act: 0.0544. Min Act: -0.0002

Data Index: 1392650 (Python Code)

Max Activating Token Index: 51

Text #2

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Data Index: 976207 (C4 (Web Text))

Max Activating Token Index: 638

Text #3

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Max Act: 0.0485. Min Act: -0.0002

Data Index: 1362902 (Python Code)

Max Activating Token Index: 20

Text #4

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Max Act: 0.0449. Min Act: -0.0002

Data Index: 1413761 (Python Code)

Max Activating Token Index: 44

Text #5

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Max Act: 0.0483. Min Act: -0.0002

Data Index: 1494816 (Python Code)

Max Activating Token Index: 106

Text #6

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Data Index: 1623576 (Python Code)

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Text #7

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Data Index: 1652776 (Python Code)

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Text #8

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Data Index: 1360636 (Python Code)

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Text #9

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Data Index: 1608267 (Python Code)

Max Activating Token Index: 551

Text #10

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Data Index: 1462184 (Python Code)

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Text #11

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Data Index: 1640513 (Python Code)

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Text #12

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Data Index: 781059 (C4 (Web Text))

Max Activating Token Index: 726

Text #13

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Data Index: 1465819 (Python Code)

Max Activating Token Index: 814

Text #14

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Data Index: 1579300 (Python Code)

Max Activating Token Index: 300

Text #15

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Data Index: 1500791 (Python Code)

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Text #16

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Data Index: 1503814 (Python Code)

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Text #17

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Data Index: 1453400 (Python Code)

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Text #18

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Data Index: 1563061 (Python Code)

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Text #19

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Max Act: 0.0449. Min Act: -0.0002

Data Index: 1419005 (Python Code)

Max Activating Token Index: 740