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

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

Neuron 2422 in Layer 1

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

Text #0

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Max Act: 0.0227. Min Act: -0.0003

Data Index: 1472682 (Python Code)

Max Activating Token Index: 21

Text #1

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Max Act: 0.0218. Min Act: -0.0003

Data Index: 1381282 (Python Code)

Max Activating Token Index: 260

Text #2

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Max Act: 0.0218. Min Act: -0.0003

Data Index: 1450980 (Python Code)

Max Activating Token Index: 454

Text #3

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Max Act: 0.0210. Min Act: -0.0003

Data Index: 1466364 (Python Code)

Max Activating Token Index: 104

Text #4

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Max Act: 0.0213. Min Act: -0.0003

Data Index: 1642770 (Python Code)

Max Activating Token Index: 277

Text #5

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Max Act: 0.0212. Min Act: -0.0002

Data Index: 1402816 (Python Code)

Max Activating Token Index: 269

Text #6

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Data Index: 1530303 (Python Code)

Max Activating Token Index: 519

Text #7

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Data Index: 1638197 (Python Code)

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Text #8

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Data Index: 1419927 (Python Code)

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Text #9

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Data Index: 1590630 (Python Code)

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Text #10

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Data Index: 1381334 (Python Code)

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Text #11

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Data Index: 1655580 (Python Code)

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Text #12

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Data Index: 1439808 (Python Code)

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Text #13

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Data Index: 1454898 (Python Code)

Max Activating Token Index: 505

Text #14

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Data Index: 1643295 (Python Code)

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Text #15

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Data Index: 1432179 (Python Code)

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Text #16

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Data Index: 1401213 (Python Code)

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Text #17

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Data Index: 1608469 (Python Code)

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Text #18

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Data Index: 1624609 (Python Code)

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Text #19

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Data Index: 1506511 (Python Code)

Max Activating Token Index: 615