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Model: GELU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 448 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')



Text #0

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Max Act: 4.4186. Min Act: -0.1700

Data Index: 1469274 (Python Code)

Max Activating Token Index: 576

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Text #1

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Data Index: 1504799 (Python Code)

Max Activating Token Index: 332

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Text #2

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Max Act: 4.1998. Min Act: -0.1700

Data Index: 1614233 (Python Code)

Max Activating Token Index: 616

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Text #3

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Max Act: 4.1685. Min Act: -0.1700

Data Index: 1421015 (Python Code)

Max Activating Token Index: 717

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Text #4

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Data Index: 1529674 (Python Code)

Max Activating Token Index: 409

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Text #5

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Data Index: 1575758 (Python Code)

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Data Index: 1614489 (Python Code)

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Text #7

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Data Index: 1389966 (Python Code)

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Text #8

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Data Index: 1642217 (Python Code)

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Text #9

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Data Index: 1634283 (Python Code)

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Text #10

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Data Index: 1546988 (Python Code)

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Text #11

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Data Index: 1507301 (Python Code)

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Text #12

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Text #13

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Data Index: 1412377 (Python Code)

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Text #14

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Text #15

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Data Index: 571836 (C4 (Web Text))

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Text #16

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Text #17

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Data Index: 1554567 (Python Code)

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Text #18

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Data Index: 1595783 (Python Code)

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Text #19

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Data Index: 1603007 (Python Code)

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