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

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

Neuron 48 in Layer 0

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



Text #0

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Max Act: 0.0170. Min Act: -0.0005

Data Index: 1399439 (Python Code)

Max Activating Token Index: 617

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Text #1

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Data Index: 1522807 (Python Code)

Max Activating Token Index: 438

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Data Index: 1579375 (Python Code)

Max Activating Token Index: 384

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Data Index: 1488966 (Python Code)

Max Activating Token Index: 839

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Data Index: 1646792 (Python Code)

Max Activating Token Index: 438

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Data Index: 1542452 (Python Code)

Max Activating Token Index: 469

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Data Index: 1564484 (Python Code)

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Data Index: 1471559 (Python Code)

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Text #8

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Data Index: 1386352 (Python Code)

Max Activating Token Index: 529

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Data Index: 1609578 (Python Code)

Max Activating Token Index: 963

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Text #10

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Data Index: 1450668 (Python Code)

Max Activating Token Index: 624

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Data Index: 1395370 (Python Code)

Max Activating Token Index: 466

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Data Index: 1483304 (Python Code)

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Text #16

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Data Index: 1456675 (Python Code)

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Data Index: 1364831 (Python Code)

Max Activating Token Index: 1009

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Data Index: 1534306 (Python Code)

Max Activating Token Index: 612

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