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

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

Neuron 976 in Layer 1

Load this data into an Interactive Neuroscope

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



Text #0

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Max Act: 3.3321. Min Act: -0.1700

Data Index: 1622819 (Python Code)

Max Activating Token Index: 463

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Text #1

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Max Act: 3.3007. Min Act: -0.1700

Data Index: 592638 (C4 (Web Text))

Max Activating Token Index: 345

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Text #2

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Max Act: 3.2693. Min Act: -0.1700

Data Index: 624308 (C4 (Web Text))

Max Activating Token Index: 822

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Text #3

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Max Act: 3.2693. Min Act: -0.1700

Data Index: 180800 (C4 (Web Text))

Max Activating Token Index: 172

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Text #4

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Max Act: 3.2379. Min Act: -0.1700

Data Index: 348007 (C4 (Web Text))

Max Activating Token Index: 181

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Text #5

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Max Act: 3.2379. Min Act: -0.1700

Data Index: 928124 (C4 (Web Text))

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Text #6

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Data Index: 415890 (C4 (Web Text))

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Text #7

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Data Index: 944853 (C4 (Web Text))

Max Activating Token Index: 268

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Text #8

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Max Act: 3.2221. Min Act: -0.1700

Data Index: 494898 (C4 (Web Text))

Max Activating Token Index: 927

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Text #9

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Data Index: 1645905 (Python Code)

Max Activating Token Index: 321

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Text #10

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Data Index: 259741 (C4 (Web Text))

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Text #11

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Data Index: 1216523 (C4 (Web Text))

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Text #12

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Data Index: 1542112 (Python Code)

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Text #13

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Data Index: 1163225 (C4 (Web Text))

Max Activating Token Index: 584

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Text #14

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Text #15

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Data Index: 823451 (C4 (Web Text))

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Text #16

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Data Index: 1140900 (C4 (Web Text))

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Text #17

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Max Act: 3.1592. Min Act: -0.1700

Data Index: 61313 (C4 (Web Text))

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Text #18

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Max Act: 3.1434. Min Act: -0.1699

Data Index: 245031 (C4 (Web Text))

Max Activating Token Index: 807

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Text #19

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Max Act: 3.1749. Min Act: -0.1700

Data Index: 688205 (C4 (Web Text))

Max Activating Token Index: 750

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