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Model: GELU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1259 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-3l')



Text #0

Max Range: 4.1887. Min Range: -4.1887

Max Act: 4.1887. Min Act: -0.1700

Data Index: 1546820 (Python Code)

Max Activating Token Index: 835

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Text #1

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Max Act: 4.0011. Min Act: -0.1700

Data Index: 1593144 (Python Code)

Max Activating Token Index: 583

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Text #2

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Max Act: 3.9698. Min Act: -0.1700

Data Index: 464147 (C4 (Web Text))

Max Activating Token Index: 947

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Text #3

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Max Act: 4.0011. Min Act: -0.1700

Data Index: 1443676 (Python Code)

Max Activating Token Index: 573

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Data Index: 1518279 (Python Code)

Max Activating Token Index: 662

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Data Index: 1418078 (Python Code)

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Data Index: 1551068 (Python Code)

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Text #7

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Data Index: 1361987 (Python Code)

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Text #8

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Data Index: 1475308 (Python Code)

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Text #9

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Data Index: 1384232 (Python Code)

Max Activating Token Index: 370

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Text #10

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Data Index: 1488255 (Python Code)

Max Activating Token Index: 910

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Text #11

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Data Index: 1383284 (Python Code)

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Text #12

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Data Index: 762861 (C4 (Web Text))

Max Activating Token Index: 257

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Text #13

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Data Index: 1594201 (Python Code)

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Text #14

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Data Index: 1405407 (Python Code)

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Data Index: 1618527 (Python Code)

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Text #16

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Text #17

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Data Index: 1486540 (Python Code)

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Text #18

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Data Index: 1543266 (Python Code)

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Text #19

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Data Index: 1638645 (Python Code)

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