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

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

Neuron 1188 in Layer 4

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

Text #0

Max Range: 1.0807. Min Range: -1.0807

Max Act: 1.0807. Min Act: -0.0001

Data Index: 1497543 (Python Code)

Max Activating Token Index: 781

Text #1

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Max Act: 1.0037. Min Act: -0.0001

Data Index: 1505322 (Python Code)

Max Activating Token Index: 948

Text #2

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Max Act: 0.9520. Min Act: -0.0001

Data Index: 1455937 (Python Code)

Max Activating Token Index: 391

Text #3

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Max Act: 1.0029. Min Act: -0.0001

Data Index: 1518230 (Python Code)

Max Activating Token Index: 305

Text #4

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Max Act: 1.0439. Min Act: -0.0001

Data Index: 1538474 (Python Code)

Max Activating Token Index: 938

Text #5

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Max Act: 1.0039. Min Act: -0.0001

Data Index: 1550633 (Python Code)

Max Activating Token Index: 221

Text #6

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Data Index: 1560555 (Python Code)

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Text #7

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Data Index: 1644304 (Python Code)

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Text #8

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Data Index: 1467218 (Python Code)

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Text #9

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Data Index: 1496254 (Python Code)

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Text #10

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Data Index: 1602684 (Python Code)

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Text #11

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Data Index: 1472690 (Python Code)

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Text #12

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Data Index: 1617399 (Python Code)

Max Activating Token Index: 218

Text #13

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Data Index: 1369833 (Python Code)

Max Activating Token Index: 868

Text #14

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Data Index: 1642522 (Python Code)

Max Activating Token Index: 174

Text #15

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Data Index: 1551243 (Python Code)

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Text #16

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Data Index: 1636639 (Python Code)

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Text #17

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Data Index: 1416267 (Python Code)

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Text #18

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Data Index: 1423740 (Python Code)

Max Activating Token Index: 220

Text #19

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Max Act: 0.9560. Min Act: -0.0001

Data Index: 1570844 (Python Code)

Max Activating Token Index: 503