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

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

Neuron 1019 in Layer 1

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

Text #0

Max Range: 0.0544. Min Range: -0.0544

Max Act: 0.0544. Min Act: -0.0006

Data Index: 1514738 (Python Code)

Max Activating Token Index: 365

Text #1

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Max Act: 0.0480. Min Act: -0.0006

Data Index: 1410787 (Python Code)

Max Activating Token Index: 261

Text #2

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Max Act: 0.0457. Min Act: -0.0006

Data Index: 1506757 (Python Code)

Max Activating Token Index: 112

Text #3

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Max Act: 0.0469. Min Act: -0.0006

Data Index: 1653092 (Python Code)

Max Activating Token Index: 113

Text #4

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Max Act: 0.0422. Min Act: -0.0006

Data Index: 1448882 (Python Code)

Max Activating Token Index: 786

Text #5

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Max Act: 0.0452. Min Act: -0.0006

Data Index: 1619762 (Python Code)

Max Activating Token Index: 194

Text #6

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Data Index: 1454270 (Python Code)

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Text #7

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Data Index: 1639795 (Python Code)

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Text #8

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Data Index: 1642695 (Python Code)

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Text #9

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Data Index: 1491440 (Python Code)

Max Activating Token Index: 518

Text #10

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Data Index: 1640177 (Python Code)

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Text #11

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Data Index: 1571283 (Python Code)

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Text #12

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Data Index: 1528303 (Python Code)

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Text #13

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Data Index: 1461935 (Python Code)

Max Activating Token Index: 179

Text #14

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Data Index: 1564446 (Python Code)

Max Activating Token Index: 855

Text #15

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Data Index: 1453292 (Python Code)

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Text #16

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Data Index: 1507019 (Python Code)

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Text #17

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Data Index: 1607907 (Python Code)

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Text #18

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Data Index: 1476330 (Python Code)

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Text #19

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Data Index: 1597091 (Python Code)

Max Activating Token Index: 625