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

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

Neuron 2043 in Layer 1

Load this data into an Interactive Neuroscope

See Documentation here

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



Text #0

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Max Act: 4.3085. Min Act: -0.1700

Data Index: 1434465 (Python Code)

Max Activating Token Index: 777

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Text #1

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Max Act: 4.2460. Min Act: -0.1700

Data Index: 1629741 (Python Code)

Max Activating Token Index: 361

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Text #2

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Max Act: 4.1835. Min Act: -0.1699

Data Index: 473630 (C4 (Web Text))

Max Activating Token Index: 54

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Text #3

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Max Act: 4.1522. Min Act: -0.1700

Data Index: 1361097 (Python Code)

Max Activating Token Index: 309

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Data Index: 1457134 (Python Code)

Max Activating Token Index: 771

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Text #5

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Data Index: 1574980 (Python Code)

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Data Index: 1551180 (Python Code)

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Text #7

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Data Index: 1500245 (Python Code)

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Text #8

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Data Index: 326492 (C4 (Web Text))

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Text #9

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Data Index: 1502503 (Python Code)

Max Activating Token Index: 1004

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Text #10

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Data Index: 1427196 (Python Code)

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Text #11

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Data Index: 1588482 (Python Code)

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Text #12

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Data Index: 1256213 (C4 (Web Text))

Max Activating Token Index: 487

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Text #13

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Data Index: 1420588 (Python Code)

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Text #14

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Data Index: 1383154 (Python Code)

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Text #15

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Data Index: 1626400 (Python Code)

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Text #16

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Text #17

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Data Index: 1544047 (Python Code)

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Data Index: 1568356 (Python Code)

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Text #19

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Data Index: 1502370 (Python Code)

Max Activating Token Index: 959

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