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

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

Neuron 62 in Layer 1

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



Text #0

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Max Act: 3.4618. Min Act: -0.1700

Data Index: 1387296 (Python Code)

Max Activating Token Index: 12

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Text #1

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Data Index: 1535440 (Python Code)

Max Activating Token Index: 405

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Text #2

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Max Act: 3.4148. Min Act: -0.1700

Data Index: 1454027 (Python Code)

Max Activating Token Index: 397

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Text #3

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Data Index: 1396195 (Python Code)

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Text #4

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Data Index: 1625062 (Python Code)

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Text #5

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Data Index: 1569752 (Python Code)

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Data Index: 1571044 (Python Code)

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Text #7

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Text #8

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Data Index: 1423770 (Python Code)

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Text #9

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Data Index: 1455131 (Python Code)

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Text #10

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Data Index: 1362053 (Python Code)

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Text #11

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Data Index: 1542360 (Python Code)

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Text #12

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Data Index: 1527498 (Python Code)

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Text #13

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Data Index: 1075457 (C4 (Web Text))

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Text #14

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Text #16

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Text #17

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Data Index: 1372201 (Python Code)

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Text #18

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Data Index: 1460883 (Python Code)

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Text #19

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Data Index: 1370800 (Python Code)

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