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Model: GELU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 58 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-3l')



Text #0

Max Range: 3.8407. Min Range: -3.8407

Max Act: 3.8407. Min Act: -0.1700

Data Index: 1089177 (C4 (Web Text))

Max Activating Token Index: 711

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Text #1

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Max Act: 3.7782. Min Act: -0.1700

Data Index: 1137510 (C4 (Web Text))

Max Activating Token Index: 239

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Text #2

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Max Act: 3.8094. Min Act: -0.1700

Data Index: 1112865 (C4 (Web Text))

Max Activating Token Index: 425

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Text #3

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Max Act: 3.7782. Min Act: -0.1700

Data Index: 622181 (C4 (Web Text))

Max Activating Token Index: 338

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Text #4

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Max Act: 3.7782. Min Act: -0.1700

Data Index: 890033 (C4 (Web Text))

Max Activating Token Index: 228

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Text #5

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Max Act: 3.7469. Min Act: -0.1700

Data Index: 877443 (C4 (Web Text))

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Text #6

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Max Act: 3.8094. Min Act: -0.1700

Data Index: 450741 (C4 (Web Text))

Max Activating Token Index: 750

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Text #7

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Data Index: 1152646 (C4 (Web Text))

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Text #8

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Max Act: 3.7469. Min Act: -0.1700

Data Index: 871408 (C4 (Web Text))

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Text #9

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Max Act: 3.7469. Min Act: -0.1700

Data Index: 87490 (C4 (Web Text))

Max Activating Token Index: 657

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Text #10

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Data Index: 1031124 (C4 (Web Text))

Max Activating Token Index: 546

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Text #11

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Data Index: 133761 (C4 (Web Text))

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Text #12

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Data Index: 367050 (C4 (Web Text))

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Text #13

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Max Act: 3.6843. Min Act: -0.1700

Data Index: 558572 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 425677 (C4 (Web Text))

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Text #16

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Data Index: 810298 (C4 (Web Text))

Max Activating Token Index: 984

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Text #17

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Data Index: 253638 (C4 (Web Text))

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Text #18

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Max Act: 3.6843. Min Act: -0.1700

Data Index: 584537 (C4 (Web Text))

Max Activating Token Index: 896

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Text #19

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Data Index: 945959 (C4 (Web Text))

Max Activating Token Index: 65

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