Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 2000 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0464. Min Act: -0.0004

Data Index: 1439531 (Python Code)

Max Activating Token Index: 6

Text #1

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Max Act: 0.0482. Min Act: -0.0004

Data Index: 1480840 (Python Code)

Max Activating Token Index: 7

Text #2

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Max Act: 0.0482. Min Act: -0.0004

Data Index: 1567055 (Python Code)

Max Activating Token Index: 7

Text #3

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Max Act: 0.0479. Min Act: -0.0004

Data Index: 1484814 (Python Code)

Max Activating Token Index: 6

Text #4

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Max Act: 0.0461. Min Act: -0.0004

Data Index: 1566906 (Python Code)

Max Activating Token Index: 5

Text #5

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Max Act: 0.0465. Min Act: -0.0004

Data Index: 1640222 (Python Code)

Max Activating Token Index: 6

Text #6

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Data Index: 1510714 (Python Code)

Max Activating Token Index: 10

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Data Index: 1473241 (Python Code)

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Data Index: 1533339 (Python Code)

Max Activating Token Index: 5

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Data Index: 1431331 (Python Code)

Max Activating Token Index: 4

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Data Index: 1642768 (Python Code)

Max Activating Token Index: 11

Text #11

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Data Index: 1610519 (Python Code)

Max Activating Token Index: 4

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Data Index: 1597731 (Python Code)

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Text #13

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Data Index: 1593329 (Python Code)

Max Activating Token Index: 7

Text #14

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Data Index: 1520450 (Python Code)

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Text #15

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Data Index: 1394939 (Python Code)

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Text #16

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Data Index: 1503952 (Python Code)

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Data Index: 1555976 (Python Code)

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Text #19

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Data Index: 1417922 (Python Code)

Max Activating Token Index: 17