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

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

Neuron 1623 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: 4.1872. Min Range: -4.1872

Max Act: 4.1872. Min Act: -0.1700

Data Index: 841481 (C4 (Web Text))

Max Activating Token Index: 581

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Text #1

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Max Act: 4.1247. Min Act: -0.1700

Data Index: 401167 (C4 (Web Text))

Max Activating Token Index: 412

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Text #2

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Max Act: 4.1559. Min Act: -0.1700

Data Index: 861430 (C4 (Web Text))

Max Activating Token Index: 152

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Text #3

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Max Act: 4.0934. Min Act: -0.1700

Data Index: 636645 (C4 (Web Text))

Max Activating Token Index: 176

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Text #4

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Max Act: 3.9684. Min Act: -0.1700

Data Index: 1400788 (Python Code)

Max Activating Token Index: 263

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Text #5

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Data Index: 1032668 (C4 (Web Text))

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Text #6

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Data Index: 1018198 (C4 (Web Text))

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Text #7

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Data Index: 354731 (C4 (Web Text))

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Text #8

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Data Index: 858643 (C4 (Web Text))

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Text #9

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Data Index: 507672 (C4 (Web Text))

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Text #10

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Text #11

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Data Index: 953939 (C4 (Web Text))

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Text #12

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Text #13

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Data Index: 1489642 (Python Code)

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Text #14

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Data Index: 1157398 (C4 (Web Text))

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Text #15

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Data Index: 801268 (C4 (Web Text))

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Text #16

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Data Index: 711180 (C4 (Web Text))

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Text #17

Max Range: 4.1872. Min Range: -4.1872

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Data Index: 512747 (C4 (Web Text))

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Text #18

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Max Act: 3.8433. Min Act: -0.1700

Data Index: 1021747 (C4 (Web Text))

Max Activating Token Index: 848

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Text #19

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Data Index: 1466248 (Python Code)

Max Activating Token Index: 273

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