Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 4038 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0361. Min Act: -0.0003

Data Index: 1649497 (Python Code)

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0330. Min Act: -0.0003

Data Index: 1511443 (Python Code)

Max Activating Token Index: 310

Text #2

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Max Act: 0.0319. Min Act: -0.0003

Data Index: 410414 (C4 (Web Text))

Max Activating Token Index: 7

Text #3

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Data Index: 372964 (C4 (Web Text))

Max Activating Token Index: 5

Text #4

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Max Act: 0.0312. Min Act: -0.0003

Data Index: 113890 (C4 (Web Text))

Max Activating Token Index: 349

Text #5

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Max Act: 0.0291. Min Act: -0.0003

Data Index: 1455130 (Python Code)

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Text #6

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Data Index: 1065935 (C4 (Web Text))

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Text #7

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Max Activating Token Index: 1023

Text #8

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Data Index: 1433474 (Python Code)

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Text #9

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Data Index: 1631834 (Python Code)

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Text #10

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Data Index: 1471295 (Python Code)

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Data Index: 1644535 (Python Code)

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Text #12

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Data Index: 18323 (C4 (Web Text))

Max Activating Token Index: 17

Text #13

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Data Index: 1569252 (Python Code)

Max Activating Token Index: 351

Text #14

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Data Index: 1635101 (Python Code)

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Text #15

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Data Index: 1496409 (Python Code)

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Text #16

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Data Index: 568166 (C4 (Web Text))

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Text #17

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Data Index: 1546607 (Python Code)

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Text #18

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Max Act: 0.0281. Min Act: -0.0003

Data Index: 14723 (C4 (Web Text))

Max Activating Token Index: 32

Text #19

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Max Act: 0.0276. Min Act: -0.0003

Data Index: 1489932 (Python Code)

Max Activating Token Index: 982