Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 278 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0307. Min Act: -0.0002

Data Index: 1585095 (Python Code)

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0268. Min Act: -0.0001

Data Index: 1395472 (Python Code)

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Text #2

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Data Index: 1453331 (Python Code)

Max Activating Token Index: 1023

Text #3

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Max Act: 0.0241. Min Act: -0.0002

Data Index: 1476678 (Python Code)

Max Activating Token Index: 1023

Text #4

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Max Act: 0.0239. Min Act: -0.0002

Data Index: 1562781 (Python Code)

Max Activating Token Index: 13

Text #5

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Data Index: 1452523 (Python Code)

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Text #6

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Data Index: 1450233 (Python Code)

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Text #7

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Data Index: 1436520 (Python Code)

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Text #8

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Data Index: 1559746 (Python Code)

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Text #9

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Data Index: 1373453 (Python Code)

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Text #10

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Data Index: 1529318 (Python Code)

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Text #11

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Data Index: 1640249 (Python Code)

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Text #12

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Data Index: 1545291 (Python Code)

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Text #13

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Data Index: 1648504 (Python Code)

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Text #14

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Data Index: 1545494 (Python Code)

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Text #15

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Data Index: 1542385 (Python Code)

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Text #16

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Data Index: 1463679 (Python Code)

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Text #17

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Data Index: 1500983 (Python Code)

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Text #18

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Data Index: 1512800 (Python Code)

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Text #19

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Data Index: 1401838 (Python Code)

Max Activating Token Index: 65