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

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

Neuron 1082 in Layer 1

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

Text #0

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Max Act: 0.0526. Min Act: -0.0006

Data Index: 1486977 (Python Code)

Max Activating Token Index: 9

Text #1

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Max Act: 0.0496. Min Act: -0.0006

Data Index: 1512755 (Python Code)

Max Activating Token Index: 15

Text #2

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Max Act: 0.0508. Min Act: -0.0006

Data Index: 1401582 (Python Code)

Max Activating Token Index: 345

Text #3

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Max Act: 0.0459. Min Act: -0.0006

Data Index: 1537135 (Python Code)

Max Activating Token Index: 922

Text #4

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Max Act: 0.0475. Min Act: -0.0006

Data Index: 1615999 (Python Code)

Max Activating Token Index: 10

Text #5

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Data Index: 1585444 (Python Code)

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Text #6

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Data Index: 1453847 (Python Code)

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Text #7

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Data Index: 1516743 (Python Code)

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Text #8

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Data Index: 1510530 (Python Code)

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Text #9

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Data Index: 1523938 (Python Code)

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Text #10

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Data Index: 1640108 (Python Code)

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Text #11

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Data Index: 1379307 (Python Code)

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Text #12

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Data Index: 1532676 (Python Code)

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Text #13

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Data Index: 1463520 (Python Code)

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Text #14

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Data Index: 1602630 (Python Code)

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Text #15

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Data Index: 1574562 (Python Code)

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Text #16

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Data Index: 1594421 (Python Code)

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Text #17

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Data Index: 1488182 (Python Code)

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Text #18

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Data Index: 1405299 (Python Code)

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Text #19

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Data Index: 1475508 (Python Code)

Max Activating Token Index: 303