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

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

Neuron 96 in Layer 2

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



Text #0

Max Range: 4.1433. Min Range: -4.1433

Max Act: 4.1433. Min Act: -0.1700

Data Index: 1507048 (Python Code)

Max Activating Token Index: 378

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Text #1

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Max Act: 4.1120. Min Act: -0.1700

Data Index: 1557146 (Python Code)

Max Activating Token Index: 703

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Text #2

Max Range: 4.1433. Min Range: -4.1433

Max Act: 4.1120. Min Act: -0.1700

Data Index: 613976 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #3

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Max Act: 4.0495. Min Act: -0.1700

Data Index: 1399195 (Python Code)

Max Activating Token Index: 488

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Text #4

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Max Act: 4.0495. Min Act: -0.1700

Data Index: 1465425 (Python Code)

Max Activating Token Index: 537

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Text #5

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Max Act: 4.0808. Min Act: -0.1700

Data Index: 1601037 (Python Code)

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Text #6

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Data Index: 1411366 (Python Code)

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Text #7

Max Range: 4.1433. Min Range: -4.1433

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Data Index: 495729 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #8

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Data Index: 1600763 (Python Code)

Max Activating Token Index: 269

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Text #9

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Max Act: 4.0495. Min Act: -0.1700

Data Index: 1503909 (Python Code)

Max Activating Token Index: 590

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Text #10

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Data Index: 1494103 (Python Code)

Max Activating Token Index: 106

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Text #11

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Data Index: 1512216 (Python Code)

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Text #12

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Data Index: 1494191 (Python Code)

Max Activating Token Index: 929

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Text #13

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Data Index: 1466441 (Python Code)

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Text #14

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Data Index: 1512500 (Python Code)

Max Activating Token Index: 579

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Text #15

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Data Index: 1376281 (Python Code)

Max Activating Token Index: 61

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Text #16

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Data Index: 1436441 (Python Code)

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Text #17

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Data Index: 1551535 (Python Code)

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Text #18

Max Range: 4.1433. Min Range: -4.1433

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Data Index: 1503608 (Python Code)

Max Activating Token Index: 274

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Text #19

Max Range: 4.1433. Min Range: -4.1433

Max Act: 4.0183. Min Act: -0.1700

Data Index: 1545102 (Python Code)

Max Activating Token Index: 332

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