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Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 3005 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')



Text #0

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Max Act: 0.0052. Min Act: -0.0003

Data Index: 1609610 (Python Code)

Max Activating Token Index: 836

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Text #1

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Max Act: 0.0051. Min Act: -0.0003

Data Index: 1621442 (Python Code)

Max Activating Token Index: 35

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Text #2

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Max Act: 0.0051. Min Act: -0.0003

Data Index: 1576482 (Python Code)

Max Activating Token Index: 947

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Text #3

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Max Act: 0.0051. Min Act: -0.0004

Data Index: 104194 (C4 (Web Text))

Max Activating Token Index: 838

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Text #4

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Max Act: 0.0052. Min Act: -0.0004

Data Index: 1645550 (Python Code)

Max Activating Token Index: 461

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Text #5

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Max Act: 0.0050. Min Act: -0.0003

Data Index: 1415364 (Python Code)

Max Activating Token Index: 334

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Text #6

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Data Index: 1515968 (Python Code)

Max Activating Token Index: 366

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Text #7

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Data Index: 1454183 (Python Code)

Max Activating Token Index: 846

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Text #8

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Max Act: 0.0050. Min Act: -0.0003

Data Index: 1508619 (Python Code)

Max Activating Token Index: 637

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Text #9

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Max Act: 0.0049. Min Act: -0.0003

Data Index: 363141 (C4 (Web Text))

Max Activating Token Index: 859

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Text #10

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Data Index: 1510203 (Python Code)

Max Activating Token Index: 755

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Text #11

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Data Index: 1497231 (Python Code)

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Text #12

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Data Index: 1273511 (C4 (Web Text))

Max Activating Token Index: 350

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Text #13

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Data Index: 1652773 (Python Code)

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Text #14

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Data Index: 1560420 (Python Code)

Max Activating Token Index: 990

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Text #15

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Data Index: 1412881 (Python Code)

Max Activating Token Index: 969

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Text #16

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Data Index: 978269 (C4 (Web Text))

Max Activating Token Index: 237

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Text #17

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Data Index: 1465367 (Python Code)

Max Activating Token Index: 566

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Text #18

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Data Index: 1426702 (Python Code)

Max Activating Token Index: 89

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Text #19

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Max Act: 0.0048. Min Act: -0.0004

Data Index: 1637914 (Python Code)

Max Activating Token Index: 267

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