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

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

Neuron 598 in Layer 0

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

Text #0

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Max Act: 0.0212. Min Act: -0.0006

Data Index: 1513071 (Python Code)

Max Activating Token Index: 514

Text #1

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Max Act: 0.0202. Min Act: -0.0005

Data Index: 1645786 (Python Code)

Max Activating Token Index: 77

Text #2

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Max Act: 0.0202. Min Act: -0.0005

Data Index: 1453701 (Python Code)

Max Activating Token Index: 127

Text #3

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Max Act: 0.0195. Min Act: -0.0005

Data Index: 1609207 (Python Code)

Max Activating Token Index: 235

Text #4

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Max Act: 0.0198. Min Act: -0.0005

Data Index: 1463924 (Python Code)

Max Activating Token Index: 954

Text #5

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Max Act: 0.0198. Min Act: -0.0005

Data Index: 1575051 (Python Code)

Max Activating Token Index: 131

Text #6

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Data Index: 1445290 (Python Code)

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Text #7

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Data Index: 1453245 (Python Code)

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Text #8

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Data Index: 1528132 (Python Code)

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Text #9

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Data Index: 1370763 (Python Code)

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Text #10

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Data Index: 1458994 (Python Code)

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Text #11

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Data Index: 1546977 (Python Code)

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Text #12

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Data Index: 1557779 (Python Code)

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Text #13

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Data Index: 1542071 (Python Code)

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Text #14

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Data Index: 1634288 (Python Code)

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Text #15

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Data Index: 1642983 (Python Code)

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Text #16

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Data Index: 1487776 (Python Code)

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Text #17

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Data Index: 1432467 (Python Code)

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Text #18

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Data Index: 1393381 (Python Code)

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Text #19

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Max Act: 0.0189. Min Act: -0.0005

Data Index: 1488082 (Python Code)

Max Activating Token Index: 71