Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 892 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0481. Min Act: -0.0006

Data Index: 1577328 (Python Code)

Max Activating Token Index: 954

Text #1

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Max Act: 0.0434. Min Act: -0.0006

Data Index: 1577595 (Python Code)

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Text #2

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Data Index: 1615886 (Python Code)

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Text #3

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Max Act: 0.0399. Min Act: -0.0006

Data Index: 1565508 (Python Code)

Max Activating Token Index: 922

Text #4

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Max Act: 0.0409. Min Act: -0.0006

Data Index: 1534744 (Python Code)

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Text #5

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Data Index: 1384964 (Python Code)

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Text #6

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Data Index: 1465692 (Python Code)

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Text #7

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Data Index: 1378201 (Python Code)

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Text #8

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Data Index: 1384218 (Python Code)

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Text #9

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Data Index: 1464355 (Python Code)

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Text #10

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Data Index: 1378832 (Python Code)

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Text #11

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Text #12

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Data Index: 1613521 (Python Code)

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Text #13

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Data Index: 1451730 (Python Code)

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Text #14

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Data Index: 1627497 (Python Code)

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Text #15

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Data Index: 1433108 (Python Code)

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Text #16

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Text #17

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Text #18

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Data Index: 1361089 (Python Code)

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Text #19

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Data Index: 1553679 (Python Code)

Max Activating Token Index: 604