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

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

Neuron 164 in Layer 0

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



Text #0

Max Range: 2.7200. Min Range: -2.7200

Max Act: 2.7200. Min Act: -0.1700

Data Index: 1068355 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #1

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Data Index: 1522243 (Python Code)

Max Activating Token Index: 2

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Text #2

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Max Act: 2.6720. Min Act: -0.1700

Data Index: 1363085 (Python Code)

Max Activating Token Index: 8

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Text #3

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Max Act: 2.6399. Min Act: -0.1700

Data Index: 1395081 (Python Code)

Max Activating Token Index: 6

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Text #4

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Max Act: 2.6239. Min Act: -0.1700

Data Index: 1438444 (Python Code)

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Text #5

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Data Index: 1609733 (Python Code)

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Text #6

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Data Index: 1562537 (Python Code)

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Text #7

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Data Index: 1495529 (Python Code)

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Text #8

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Data Index: 1577040 (Python Code)

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Text #9

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Data Index: 1440982 (Python Code)

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Text #10

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Data Index: 1488324 (Python Code)

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Text #11

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Data Index: 1423130 (Python Code)

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Text #12

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Data Index: 1652942 (Python Code)

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Text #13

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Data Index: 1516422 (Python Code)

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Text #14

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Data Index: 1655632 (Python Code)

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Text #15

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Data Index: 1574849 (Python Code)

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Text #16

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Data Index: 1656521 (Python Code)

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Text #17

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Data Index: 1551499 (Python Code)

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Text #18

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Data Index: 1541293 (Python Code)

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Text #19

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Max Act: 2.5917. Min Act: -0.1700

Data Index: 1541300 (Python Code)

Max Activating Token Index: 4

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