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

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

Neuron 2042 in Layer 1

Load this data into an Interactive Neuroscope

See Documentation here

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



Text #0

Max Range: 4.4943. Min Range: -4.4943

Max Act: 4.4943. Min Act: -0.1700

Data Index: 1527486 (Python Code)

Max Activating Token Index: 583

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Text #1

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Max Act: 4.4318. Min Act: -0.1700

Data Index: 1376023 (Python Code)

Max Activating Token Index: 235

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Text #2

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Max Act: 4.2443. Min Act: -0.1700

Data Index: 1514353 (Python Code)

Max Activating Token Index: 329

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Text #3

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Max Act: 4.2130. Min Act: -0.1700

Data Index: 1244008 (C4 (Web Text))

Max Activating Token Index: 914

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Text #4

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Max Act: 4.1505. Min Act: -0.1700

Data Index: 1390491 (Python Code)

Max Activating Token Index: 431

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Text #5

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Data Index: 1631300 (Python Code)

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Data Index: 1495671 (Python Code)

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Text #7

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Data Index: 687490 (C4 (Web Text))

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Text #8

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Data Index: 1621980 (Python Code)

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Text #9

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Data Index: 1630628 (Python Code)

Max Activating Token Index: 169

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Text #10

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Data Index: 1548367 (Python Code)

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Text #11

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Data Index: 1612513 (Python Code)

Max Activating Token Index: 778

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Text #12

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Data Index: 1599353 (Python Code)

Max Activating Token Index: 456

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Text #13

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Data Index: 1427315 (Python Code)

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Text #14

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Data Index: 1596165 (Python Code)

Max Activating Token Index: 902

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Text #15

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Data Index: 58940 (C4 (Web Text))

Max Activating Token Index: 673

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Text #16

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Text #17

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Data Index: 1372722 (Python Code)

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Text #18

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Data Index: 1480039 (Python Code)

Max Activating Token Index: 224

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Text #19

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Data Index: 1550650 (Python Code)

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