Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1050 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0413. Min Act: -0.0006

Data Index: 1511745 (Python Code)

Max Activating Token Index: 346

Text #1

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Max Act: 0.0400. Min Act: -0.0005

Data Index: 1475561 (Python Code)

Max Activating Token Index: 261

Text #2

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Max Act: 0.0366. Min Act: -0.0005

Data Index: 1479830 (Python Code)

Max Activating Token Index: 238

Text #3

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Max Act: 0.0359. Min Act: -0.0005

Data Index: 1489789 (Python Code)

Max Activating Token Index: 282

Text #4

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Data Index: 1415426 (Python Code)

Max Activating Token Index: 390

Text #5

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Max Act: 0.0329. Min Act: -0.0005

Data Index: 1542605 (Python Code)

Max Activating Token Index: 212

Text #6

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Data Index: 1605808 (Python Code)

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Text #7

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Data Index: 1436368 (Python Code)

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Text #8

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Data Index: 1544113 (Python Code)

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Text #9

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Data Index: 1390095 (Python Code)

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Text #10

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Data Index: 1439669 (Python Code)

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Text #11

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Data Index: 1433837 (Python Code)

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Text #12

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Data Index: 1425067 (Python Code)

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Text #13

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Data Index: 1507266 (Python Code)

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Text #14

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Data Index: 1409130 (Python Code)

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Text #15

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Data Index: 1440958 (Python Code)

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Text #16

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Data Index: 1478998 (Python Code)

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Text #17

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Data Index: 1377585 (Python Code)

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Text #18

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Data Index: 1602168 (Python Code)

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Text #19

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Data Index: 1610786 (Python Code)

Max Activating Token Index: 228