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

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

Neuron 900 in Layer 1

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

Text #0

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Data Index: 1623759 (Python Code)

Max Activating Token Index: 623

Text #1

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Max Act: 0.0147. Min Act: -0.0006

Data Index: 584426 (C4 (Web Text))

Max Activating Token Index: 360

Text #2

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Max Act: 0.0147. Min Act: -0.0006

Data Index: 1385770 (Python Code)

Max Activating Token Index: 568

Text #3

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Max Act: 0.0146. Min Act: -0.0006

Data Index: 1540181 (Python Code)

Max Activating Token Index: 451

Text #4

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Data Index: 1374795 (Python Code)

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Text #5

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Data Index: 1441512 (Python Code)

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Text #6

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Data Index: 1587242 (Python Code)

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Text #7

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Data Index: 1451800 (Python Code)

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Text #8

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Data Index: 1511440 (Python Code)

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Data Index: 1604860 (Python Code)

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Text #10

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Data Index: 1579926 (Python Code)

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Text #12

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Data Index: 1399499 (Python Code)

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Text #13

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Data Index: 1419814 (Python Code)

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Text #14

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Data Index: 1565166 (Python Code)

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Text #15

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Data Index: 1474497 (Python Code)

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Text #16

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Data Index: 1601398 (Python Code)

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Text #17

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Data Index: 1428103 (Python Code)

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Text #18

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Data Index: 1550051 (Python Code)

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Text #19

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Data Index: 1643413 (Python Code)

Max Activating Token Index: 895