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

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

Neuron 4283 in Layer 0

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

Text #0

Max Range: 0.0366. Min Range: -0.0366

Max Act: 0.0366. Min Act: -0.0002

Data Index: 1366642 (Python Code)

Max Activating Token Index: 859

Text #1

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Max Act: 0.0365. Min Act: -0.0002

Data Index: 1477202 (Python Code)

Max Activating Token Index: 829

Text #2

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Max Act: 0.0351. Min Act: -0.0002

Data Index: 1438040 (Python Code)

Max Activating Token Index: 577

Text #3

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Max Act: 0.0364. Min Act: -0.0002

Data Index: 1518406 (Python Code)

Max Activating Token Index: 801

Text #4

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Max Act: 0.0362. Min Act: -0.0002

Data Index: 1544872 (Python Code)

Max Activating Token Index: 505

Text #5

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Max Act: 0.0354. Min Act: -0.0002

Data Index: 1593334 (Python Code)

Max Activating Token Index: 525

Text #6

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Data Index: 1546923 (Python Code)

Max Activating Token Index: 848

Text #7

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Data Index: 1481778 (Python Code)

Max Activating Token Index: 372

Text #8

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Data Index: 1537964 (Python Code)

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Text #9

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Data Index: 1617171 (Python Code)

Max Activating Token Index: 451

Text #10

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Data Index: 1416487 (Python Code)

Max Activating Token Index: 728

Text #11

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Data Index: 1390005 (Python Code)

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Text #12

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Data Index: 1630477 (Python Code)

Max Activating Token Index: 264

Text #13

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Data Index: 1502241 (Python Code)

Max Activating Token Index: 346

Text #14

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Data Index: 1564594 (Python Code)

Max Activating Token Index: 276

Text #15

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Data Index: 1530329 (Python Code)

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Text #16

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Data Index: 1447247 (Python Code)

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Text #17

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Data Index: 1632090 (Python Code)

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Text #18

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Data Index: 1423398 (Python Code)

Max Activating Token Index: 442

Text #19

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Max Act: 0.0323. Min Act: -0.0002

Data Index: 1307377 (C4 (Web Text))

Max Activating Token Index: 951