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

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

Neuron 11 in Layer 2

Load this data into an Interactive Neuroscope

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



Text #0

Max Range: 4.2669. Min Range: -4.2669

Max Act: 4.2669. Min Act: -0.1700

Data Index: 971513 (C4 (Web Text))

Max Activating Token Index: 947

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Text #1

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Max Act: 4.2669. Min Act: -0.1700

Data Index: 1341459 (C4 (Web Text))

Max Activating Token Index: 641

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Text #2

Max Range: 4.2669. Min Range: -4.2669

Max Act: 4.2043. Min Act: -0.1700

Data Index: 1306940 (C4 (Web Text))

Max Activating Token Index: 359

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Text #3

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Max Act: 4.1418. Min Act: -0.1700

Data Index: 1181185 (C4 (Web Text))

Max Activating Token Index: 482

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Text #4

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Max Act: 4.1731. Min Act: -0.1700

Data Index: 333888 (C4 (Web Text))

Max Activating Token Index: 605

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Text #5

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Max Act: 4.1418. Min Act: -0.1700

Data Index: 46407 (C4 (Web Text))

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Text #6

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Data Index: 1030023 (C4 (Web Text))

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Text #7

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Data Index: 782370 (C4 (Web Text))

Max Activating Token Index: 954

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Text #8

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Max Act: 4.0793. Min Act: -0.1700

Data Index: 292866 (C4 (Web Text))

Max Activating Token Index: 965

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Text #9

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Data Index: 1181574 (C4 (Web Text))

Max Activating Token Index: 897

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Text #10

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Data Index: 1042224 (C4 (Web Text))

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Text #11

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Data Index: 119396 (C4 (Web Text))

Max Activating Token Index: 636

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Text #12

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Data Index: 446639 (C4 (Web Text))

Max Activating Token Index: 667

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Text #13

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Max Act: 4.0480. Min Act: -0.1700

Data Index: 47265 (C4 (Web Text))

Max Activating Token Index: 858

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Text #14

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Text #15

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Data Index: 805854 (C4 (Web Text))

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Text #16

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Data Index: 945959 (C4 (Web Text))

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Text #17

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Max Act: 4.0011. Min Act: -0.1700

Data Index: 1026222 (C4 (Web Text))

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Text #18

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Max Act: 4.0480. Min Act: -0.1700

Data Index: 93801 (C4 (Web Text))

Max Activating Token Index: 381

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Text #19

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Max Act: 4.0168. Min Act: -0.1700

Data Index: 1112865 (C4 (Web Text))

Max Activating Token Index: 483

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