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

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

Neuron 28 in Layer 0

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

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Text #0

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Max Act: 3.3611. Min Act: -0.1700

Data Index: 1395975 (Python Code)

Max Activating Token Index: 457

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Text #1

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Data Index: 1413303 (Python Code)

Max Activating Token Index: 597

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Text #2

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Data Index: 1609318 (Python Code)

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Text #3

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Data Index: 1380106 (Python Code)

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Text #4

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Data Index: 864136 (C4 (Web Text))

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Text #5

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Data Index: 1470177 (Python Code)

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Text #7

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Text #8

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Data Index: 407959 (C4 (Web Text))

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Text #9

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Data Index: 1641616 (Python Code)

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Text #11

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Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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