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

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

Neuron 147 in Layer 0

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



Text #0

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Max Act: 0.0047. Min Act: -0.0005

Data Index: 1368029 (Python Code)

Max Activating Token Index: 765

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Text #1

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Max Act: 0.0044. Min Act: -0.0005

Data Index: 1645502 (Python Code)

Max Activating Token Index: 247

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Text #2

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Max Act: 0.0044. Min Act: -0.0005

Data Index: 1462389 (Python Code)

Max Activating Token Index: 763

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Text #3

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Max Act: 0.0044. Min Act: -0.0005

Data Index: 1475977 (Python Code)

Max Activating Token Index: 777

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Text #4

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Max Act: 0.0044. Min Act: -0.0005

Data Index: 1428427 (Python Code)

Max Activating Token Index: 517

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Text #5

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Data Index: 1641362 (Python Code)

Max Activating Token Index: 924

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Text #6

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Data Index: 1439093 (Python Code)

Max Activating Token Index: 435

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Text #7

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Data Index: 1492160 (Python Code)

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Text #8

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Data Index: 1591154 (Python Code)

Max Activating Token Index: 138

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Text #9

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Data Index: 1586444 (Python Code)

Max Activating Token Index: 8

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Text #10

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Data Index: 852733 (C4 (Web Text))

Max Activating Token Index: 120

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Text #11

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Data Index: 1613579 (Python Code)

Max Activating Token Index: 622

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Text #12

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Data Index: 1468896 (Python Code)

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Text #13

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Data Index: 1553114 (Python Code)

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Text #14

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Data Index: 7620 (C4 (Web Text))

Max Activating Token Index: 651

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Text #15

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Data Index: 1607894 (Python Code)

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Text #16

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Data Index: 1404702 (Python Code)

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Text #17

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Data Index: 1569432 (Python Code)

Max Activating Token Index: 437

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Text #18

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Data Index: 1627590 (Python Code)

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Text #19

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Data Index: 1625648 (Python Code)

Max Activating Token Index: 439

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