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

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

Neuron 302 in Layer 0

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



Text #0

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Max Act: 4.5204. Min Act: -0.1700

Data Index: 1520019 (Python Code)

Max Activating Token Index: 336

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Text #1

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Data Index: 1573424 (Python Code)

Max Activating Token Index: 340

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Text #2

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Max Act: 4.4892. Min Act: -0.1700

Data Index: 477846 (C4 (Web Text))

Max Activating Token Index: 405

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Text #3

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Data Index: 1483254 (Python Code)

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Text #4

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Data Index: 1540709 (Python Code)

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Text #5

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Data Index: 520198 (C4 (Web Text))

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Text #6

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Data Index: 1486465 (Python Code)

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Text #7

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Text #8

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Data Index: 1362219 (Python Code)

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Text #9

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Data Index: 1508066 (Python Code)

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Text #10

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Data Index: 1565730 (Python Code)

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Text #11

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Data Index: 241855 (C4 (Web Text))

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Text #12

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Data Index: 448474 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 198439 (C4 (Web Text))

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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: 1550531 (Python Code)

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Text #19

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Data Index: 1505913 (Python Code)

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