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

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

Neuron 786 in Layer 5

Load this data into an Interactive Neuroscope

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

Text #0

Max Range: 0.0640. Min Range: -0.0640

Max Act: 0.0638. Min Act: -0.0000

Data Index: 1650199 (Python Code)

Max Activating Token Index: 491

Text #1

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Max Act: 0.0640. Min Act: -0.0000

Data Index: 1633684 (Python Code)

Max Activating Token Index: 788

Text #2

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Max Act: 0.0632. Min Act: -0.0000

Data Index: 1627752 (Python Code)

Max Activating Token Index: 197

Text #3

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Max Act: 0.0585. Min Act: -0.0000

Data Index: 1461934 (Python Code)

Max Activating Token Index: 236

Text #4

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Max Act: 0.0538. Min Act: -0.0000

Data Index: 1382218 (Python Code)

Max Activating Token Index: 460

Text #5

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Max Act: 0.0484. Min Act: -0.0000

Data Index: 1378007 (Python Code)

Max Activating Token Index: 718

Text #6

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Data Index: 451870 (C4 (Web Text))

Max Activating Token Index: 1003

Text #7

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Data Index: 1574427 (Python Code)

Max Activating Token Index: 244

Text #8

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Data Index: 1505448 (Python Code)

Max Activating Token Index: 147

Text #9

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Data Index: 381747 (C4 (Web Text))

Max Activating Token Index: 838

Text #10

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Data Index: 1549049 (Python Code)

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Text #11

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Data Index: 1403656 (Python Code)

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Text #12

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Data Index: 1592642 (Python Code)

Max Activating Token Index: 206

Text #13

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Data Index: 1248354 (C4 (Web Text))

Max Activating Token Index: 629

Text #14

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Data Index: 1515245 (Python Code)

Max Activating Token Index: 410

Text #15

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Data Index: 1581762 (Python Code)

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Text #16

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Text #17

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Data Index: 1113950 (C4 (Web Text))

Max Activating Token Index: 154

Text #18

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Data Index: 1305584 (C4 (Web Text))

Max Activating Token Index: 1022

Text #19

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Max Act: 0.0409. Min Act: -0.0000

Data Index: 1619850 (Python Code)

Max Activating Token Index: 236