Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1988 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0297. Min Act: -0.0005

Data Index: 1653540 (Python Code)

Max Activating Token Index: 365

Text #1

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Max Act: 0.0280. Min Act: -0.0005

Data Index: 1395712 (Python Code)

Max Activating Token Index: 599

Text #2

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Max Act: 0.0271. Min Act: -0.0006

Data Index: 1391100 (Python Code)

Max Activating Token Index: 957

Text #3

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Max Act: 0.0277. Min Act: -0.0006

Data Index: 1378290 (Python Code)

Max Activating Token Index: 632

Text #4

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Max Act: 0.0274. Min Act: -0.0005

Data Index: 1481292 (Python Code)

Max Activating Token Index: 336

Text #5

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Max Act: 0.0263. Min Act: -0.0005

Data Index: 1458751 (Python Code)

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Text #6

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Data Index: 1521458 (Python Code)

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Text #7

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Data Index: 1511977 (Python Code)

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Text #8

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Data Index: 1477576 (Python Code)

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Text #9

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Data Index: 1571454 (Python Code)

Max Activating Token Index: 10

Text #10

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Data Index: 1571136 (Python Code)

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Text #11

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Data Index: 1582531 (Python Code)

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Text #12

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Data Index: 1377604 (Python Code)

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Text #13

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Data Index: 1536792 (Python Code)

Max Activating Token Index: 1008

Text #14

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Data Index: 1493340 (Python Code)

Max Activating Token Index: 326

Text #15

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Data Index: 1475821 (Python Code)

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Text #16

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Data Index: 1518588 (Python Code)

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Text #17

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Data Index: 1631463 (Python Code)

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Text #18

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Data Index: 1511851 (Python Code)

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Text #19

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Data Index: 1523131 (Python Code)

Max Activating Token Index: 935