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

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

Neuron 455 in Layer 0

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



Text #0

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Max Act: 0.0049. Min Act: -0.0005

Data Index: 200667 (C4 (Web Text))

Max Activating Token Index: 13

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Text #1

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Data Index: 1618067 (Python Code)

Max Activating Token Index: 346

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Text #2

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Max Act: 0.0048. Min Act: -0.0005

Data Index: 1597983 (Python Code)

Max Activating Token Index: 1003

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Text #3

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Max Act: 0.0048. Min Act: -0.0005

Data Index: 1043594 (C4 (Web Text))

Max Activating Token Index: 516

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Text #4

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Max Act: 0.0048. Min Act: -0.0005

Data Index: 1590619 (Python Code)

Max Activating Token Index: 297

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Text #5

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Data Index: 1589410 (Python Code)

Max Activating Token Index: 321

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Text #6

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Data Index: 1463945 (Python Code)

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Text #7

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Data Index: 1450279 (Python Code)

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Text #8

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Data Index: 1588558 (Python Code)

Max Activating Token Index: 904

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Text #9

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Max Act: 0.0045. Min Act: -0.0005

Data Index: 1542833 (Python Code)

Max Activating Token Index: 294

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Text #10

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Data Index: 1562624 (Python Code)

Max Activating Token Index: 547

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Text #11

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Data Index: 1565722 (Python Code)

Max Activating Token Index: 78

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Text #12

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Data Index: 1556599 (Python Code)

Max Activating Token Index: 972

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Text #13

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Data Index: 1448618 (Python Code)

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Text #14

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Data Index: 1637713 (Python Code)

Max Activating Token Index: 132

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Text #15

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Data Index: 1655395 (Python Code)

Max Activating Token Index: 920

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Text #16

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Data Index: 1442273 (Python Code)

Max Activating Token Index: 525

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Text #17

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Data Index: 1456040 (Python Code)

Max Activating Token Index: 356

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Text #18

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Data Index: 1430074 (Python Code)

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Text #19

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Max Act: 0.0044. Min Act: -0.0005

Data Index: 1423721 (Python Code)

Max Activating Token Index: 277

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