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

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

Neuron 267 in Layer 0

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



Text #0

Max Range: 2.8279. Min Range: -2.8279

Max Act: 2.8279. Min Act: -0.1700

Data Index: 1308268 (C4 (Web Text))

Max Activating Token Index: 485

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Text #1

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Max Act: 2.7482. Min Act: -0.1700

Data Index: 1024071 (C4 (Web Text))

Max Activating Token Index: 261

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Text #2

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Max Act: 2.6843. Min Act: -0.1700

Data Index: 1484650 (Python Code)

Max Activating Token Index: 239

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Text #3

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Max Act: 2.6522. Min Act: -0.1700

Data Index: 1396523 (Python Code)

Max Activating Token Index: 416

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Text #4

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Max Act: 2.6522. Min Act: -0.1700

Data Index: 1568655 (Python Code)

Max Activating Token Index: 587

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Text #5

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Max Act: 2.6201. Min Act: -0.1700

Data Index: 1646812 (Python Code)

Max Activating Token Index: 812

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Text #6

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Data Index: 1435217 (Python Code)

Max Activating Token Index: 75

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Text #7

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Data Index: 1531511 (Python Code)

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Text #8

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Data Index: 1606084 (Python Code)

Max Activating Token Index: 323

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Text #9

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Data Index: 1471627 (Python Code)

Max Activating Token Index: 652

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Text #10

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Data Index: 1550232 (Python Code)

Max Activating Token Index: 278

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Text #11

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Data Index: 1365922 (Python Code)

Max Activating Token Index: 228

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Text #12

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Data Index: 1569680 (Python Code)

Max Activating Token Index: 463

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Text #13

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Data Index: 1598306 (Python Code)

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Text #14

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Data Index: 1461681 (Python Code)

Max Activating Token Index: 135

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Text #15

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Data Index: 1461527 (Python Code)

Max Activating Token Index: 241

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Text #16

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Data Index: 1437815 (Python Code)

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Text #17

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Data Index: 1529929 (Python Code)

Max Activating Token Index: 279

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Text #18

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Data Index: 1565721 (Python Code)

Max Activating Token Index: 377

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Text #19

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Max Act: 2.5718. Min Act: -0.1700

Data Index: 1576990 (Python Code)

Max Activating Token Index: 296

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