Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 1320 in Layer 3

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 1.2319. Min Act: -0.0001

Data Index: 1419134 (Python Code)

Max Activating Token Index: 168

Text #1

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Max Act: 1.2183. Min Act: -0.0001

Data Index: 1639960 (Python Code)

Max Activating Token Index: 837

Text #2

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Data Index: 1440388 (Python Code)

Max Activating Token Index: 29

Text #3

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Max Act: 0.9941. Min Act: -0.0001

Data Index: 1554316 (Python Code)

Max Activating Token Index: 58

Text #4

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Max Act: 0.8852. Min Act: -0.0001

Data Index: 1429025 (Python Code)

Max Activating Token Index: 51

Text #5

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Data Index: 1529746 (Python Code)

Max Activating Token Index: 14

Text #6

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Data Index: 1556387 (Python Code)

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Text #7

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Data Index: 1471772 (Python Code)

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Text #8

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Data Index: 1513572 (Python Code)

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Text #9

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Data Index: 1635008 (Python Code)

Max Activating Token Index: 363

Text #10

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Data Index: 1649697 (Python Code)

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Text #11

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Data Index: 1450219 (Python Code)

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Text #12

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Data Index: 1463051 (Python Code)

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Text #13

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Data Index: 1596981 (Python Code)

Max Activating Token Index: 465

Text #14

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Data Index: 1536603 (Python Code)

Max Activating Token Index: 305

Text #15

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Data Index: 1480429 (Python Code)

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Text #16

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Data Index: 1496931 (Python Code)

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Text #17

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Data Index: 1406118 (Python Code)

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Text #18

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Data Index: 1563640 (Python Code)

Max Activating Token Index: 393

Text #19

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Max Act: 0.7363. Min Act: -0.0001

Data Index: 362711 (C4 (Web Text))

Max Activating Token Index: 32