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

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

Neuron 139 in Layer 0

Load this data into an Interactive Neuroscope

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



Text #0

Max Range: 2.6448. Min Range: -2.6448

Max Act: 2.6448. Min Act: -0.1700

Data Index: 1224508 (C4 (Web Text))

Max Activating Token Index: 547

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Truncated

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Text #1

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Max Act: 2.5320. Min Act: -0.1700

Data Index: 38750 (C4 (Web Text))

Max Activating Token Index: 603

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Truncated

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Text #2

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Max Act: 2.4997. Min Act: -0.1700

Data Index: 1137103 (C4 (Web Text))

Max Activating Token Index: 913

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Truncated

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Text #3

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Max Act: 2.4510. Min Act: -0.1700

Data Index: 735478 (C4 (Web Text))

Max Activating Token Index: 789

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Truncated

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Text #4

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Max Act: 2.4185. Min Act: -0.1700

Data Index: 1082378 (C4 (Web Text))

Max Activating Token Index: 795

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Truncated

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Text #5

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Max Act: 2.3858. Min Act: -0.1700

Data Index: 964058 (C4 (Web Text))

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Text #6

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Max Act: 2.3695. Min Act: -0.1700

Data Index: 1301054 (C4 (Web Text))

Max Activating Token Index: 399

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Truncated

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Text #7

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Max Act: 2.3531. Min Act: -0.1700

Data Index: 987045 (C4 (Web Text))

Max Activating Token Index: 288

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Truncated

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Text #8

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Max Act: 2.3695. Min Act: -0.1700

Data Index: 1333704 (C4 (Web Text))

Max Activating Token Index: 747

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Text #9

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Max Act: 2.3531. Min Act: -0.1700

Data Index: 667464 (C4 (Web Text))

Max Activating Token Index: 244

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Truncated

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Text #10

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Max Act: 2.3695. Min Act: -0.1700

Data Index: 824844 (C4 (Web Text))

Max Activating Token Index: 725

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Truncated

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Text #11

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Max Act: 2.3695. Min Act: -0.1700

Data Index: 3819 (C4 (Web Text))

Max Activating Token Index: 716

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Truncated

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Text #12

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Max Act: 2.3531. Min Act: -0.1700

Data Index: 1077281 (C4 (Web Text))

Max Activating Token Index: 40

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Text #13

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Max Act: 2.3531. Min Act: -0.1700

Data Index: 1244919 (C4 (Web Text))

Max Activating Token Index: 317

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Truncated

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Text #14

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Max Act: 2.3531. Min Act: -0.1700

Data Index: 1611508 (Python Code)

Max Activating Token Index: 731

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Text #15

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Max Act: 2.3204. Min Act: -0.1700

Data Index: 1416494 (Python Code)

Max Activating Token Index: 35

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Text #16

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Max Act: 2.3368. Min Act: -0.1700

Data Index: 495464 (C4 (Web Text))

Max Activating Token Index: 290

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Truncated

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Text #17

Max Range: 2.6448. Min Range: -2.6448

Max Act: 2.3204. Min Act: -0.1700

Data Index: 130638 (C4 (Web Text))

Max Activating Token Index: 418

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Text #18

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Max Act: 2.3368. Min Act: -0.1700

Data Index: 179292 (C4 (Web Text))

Max Activating Token Index: 794

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Text #19

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Max Act: 2.3368. Min Act: -0.1700

Data Index: 935206 (C4 (Web Text))

Max Activating Token Index: 512

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