Model: GELU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1015 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-4l')

Text #0

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Data Index: 1421058 (Python Code)

Max Activating Token Index: 266

Text #1

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Data Index: 1589393 (Python Code)

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Text #2

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Data Index: 1504327 (Python Code)

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Text #3

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Data Index: 1519857 (Python Code)

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Text #4

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Data Index: 1563413 (Python Code)

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Text #5

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Data Index: 1493351 (Python Code)

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Text #6

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Data Index: 1575064 (Python Code)

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Data Index: 1601675 (Python Code)

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Data Index: 1367870 (Python Code)

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Text #10

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Data Index: 1533831 (Python Code)

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Text #11

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Text #12

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Data Index: 1393437 (Python Code)

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Text #13

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Data Index: 1571134 (Python Code)

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Text #14

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Data Index: 1575082 (Python Code)

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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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Data Index: 1383113 (Python Code)

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Text #19

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Data Index: 1492639 (Python Code)

Max Activating Token Index: 30