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

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

Neuron 68 in Layer 0

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

Text #0

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Max Act: 0.0351. Min Act: -0.0002

Data Index: 1588428 (Python Code)

Max Activating Token Index: 693

Text #1

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Max Act: 0.0338. Min Act: -0.0002

Data Index: 1517630 (Python Code)

Max Activating Token Index: 105

Text #2

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Max Act: 0.0341. Min Act: -0.0002

Data Index: 1555707 (Python Code)

Max Activating Token Index: 215

Text #3

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Max Act: 0.0318. Min Act: -0.0002

Data Index: 1465451 (Python Code)

Max Activating Token Index: 968

Text #4

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Max Act: 0.0308. Min Act: -0.0002

Data Index: 1371339 (Python Code)

Max Activating Token Index: 611

Text #5

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Max Act: 0.0305. Min Act: -0.0002

Data Index: 1441614 (Python Code)

Max Activating Token Index: 654

Text #6

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Data Index: 1569184 (Python Code)

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Text #7

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Data Index: 1451792 (Python Code)

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Text #8

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Data Index: 1512423 (Python Code)

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Text #9

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Data Index: 1382187 (Python Code)

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Text #10

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Data Index: 1020277 (C4 (Web Text))

Max Activating Token Index: 770

Text #11

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Data Index: 1617593 (Python Code)

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Text #12

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Data Index: 1647097 (Python Code)

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Text #13

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Data Index: 1501485 (Python Code)

Max Activating Token Index: 150

Text #14

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Data Index: 1381327 (Python Code)

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Text #15

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Data Index: 1515105 (Python Code)

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Text #16

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Data Index: 1623526 (Python Code)

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Text #17

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Data Index: 1369977 (Python Code)

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Text #18

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Data Index: 1621931 (Python Code)

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Text #19

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Max Act: 0.0282. Min Act: -0.0002

Data Index: 1639796 (Python Code)

Max Activating Token Index: 276