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Model: SoLU Model: 1 Layers, 2048 Neurons per Layer

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

Neuron 1958 in Layer 0

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Hooked Transformer Loading: HookedTransformer.from_pretrained('solu-1l')

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Text #0

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Max Act: 0.0314. Min Act: -0.0003

Data Index: 1558869 (Python Code)

Max Activating Token Index: 910

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Text #1

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Max Act: 0.0281. Min Act: -0.0003

Data Index: 1643343 (Python Code)

Max Activating Token Index: 969

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Text #2

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Max Act: 0.0289. Min Act: -0.0003

Data Index: 1521502 (Python Code)

Max Activating Token Index: 662

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Text #3

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Max Act: 0.0274. Min Act: -0.0003

Data Index: 1455978 (Python Code)

Max Activating Token Index: 649

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Text #4

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Data Index: 1578471 (Python Code)

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Text #5

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Data Index: 1557287 (Python Code)

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Data Index: 1592499 (Python Code)

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Text #7

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Data Index: 1379329 (Python Code)

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Text #8

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Data Index: 1522586 (Python Code)

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Text #9

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Data Index: 1655448 (Python Code)

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Text #10

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Data Index: 1603695 (Python Code)

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Text #11

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Text #12

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Data Index: 1389253 (Python Code)

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Data Index: 1561150 (Python Code)

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