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

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

Neuron 429 in Layer 0

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



Text #0

Max Range: 3.0277. Min Range: -3.0277

Max Act: 3.0277. Min Act: -0.1700

Data Index: 1605147 (Python Code)

Max Activating Token Index: 794

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Text #1

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Max Act: 2.9960. Min Act: -0.1700

Data Index: 1385537 (Python Code)

Max Activating Token Index: 402

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Text #2

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Max Act: 2.9169. Min Act: -0.1700

Data Index: 1575259 (Python Code)

Max Activating Token Index: 252

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Text #3

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Max Act: 2.9010. Min Act: -0.1700

Data Index: 1487645 (Python Code)

Max Activating Token Index: 309

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Text #4

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Data Index: 1601473 (Python Code)

Max Activating Token Index: 7

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Text #5

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Data Index: 529413 (C4 (Web Text))

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Text #6

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Data Index: 1413792 (Python Code)

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Text #7

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Data Index: 935239 (C4 (Web Text))

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Text #8

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Data Index: 1369139 (Python Code)

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Text #9

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Data Index: 1619874 (Python Code)

Max Activating Token Index: 164

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Text #10

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Data Index: 1606572 (Python Code)

Max Activating Token Index: 188

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Text #11

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Data Index: 1576804 (Python Code)

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Text #12

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Data Index: 1525471 (Python Code)

Max Activating Token Index: 644

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Text #13

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Data Index: 1617044 (Python Code)

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Text #14

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Data Index: 1612956 (Python Code)

Max Activating Token Index: 524

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Text #15

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Data Index: 1506944 (Python Code)

Max Activating Token Index: 124

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Text #16

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Data Index: 1481926 (Python Code)

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Text #17

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Data Index: 1512243 (Python Code)

Max Activating Token Index: 254

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Text #18

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Data Index: 1431729 (Python Code)

Max Activating Token Index: 599

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Text #19

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Max Act: 2.7738. Min Act: -0.1700

Data Index: 1365276 (Python Code)

Max Activating Token Index: 371

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