Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 1990 in Layer 1
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
Max Range: 4.8675. Min Range: -4.8675
Max Act: 4.8675. Min Act: -0.1700
Data Index: 604955 (C4 (Web Text))
Max Activating Token Index: 121
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Text #1
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Max Act: 4.8675. Min Act: -0.1700
Data Index: 435720 (C4 (Web Text))
Max Activating Token Index: 390
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Text #2
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Data Index: 564193 (C4 (Web Text))
Max Activating Token Index: 27
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Text #3
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Data Index: 33491 (C4 (Web Text))
Max Activating Token Index: 296
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Text #4
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Data Index: 755304 (C4 (Web Text))
Max Activating Token Index: 208
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Text #5
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Data Index: 239685 (C4 (Web Text))
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Text #6
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Data Index: 67195 (C4 (Web Text))
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Text #7
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Data Index: 83239 (C4 (Web Text))
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Text #8
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Data Index: 1206767 (C4 (Web Text))
Max Activating Token Index: 241
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Text #9
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Data Index: 665022 (C4 (Web Text))
Max Activating Token Index: 196
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Text #10
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Data Index: 180848 (C4 (Web Text))
Max Activating Token Index: 735
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Text #11
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Data Index: 878375 (C4 (Web Text))
Max Activating Token Index: 23
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Text #12
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Data Index: 140185 (C4 (Web Text))
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Text #13
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Max Act: 4.6800. Min Act: -0.1700
Data Index: 10055 (C4 (Web Text))
Max Activating Token Index: 998
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Text #14
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Data Index: 677069 (C4 (Web Text))
Max Activating Token Index: 742
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Text #15
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Data Index: 1309080 (C4 (Web Text))
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Text #16
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Data Index: 209679 (C4 (Web Text))
Max Activating Token Index: 596
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Text #17
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Data Index: 580403 (C4 (Web Text))
Max Activating Token Index: 371
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Text #18
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Data Index: 547686 (C4 (Web Text))
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Text #19
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Data Index: 409058 (C4 (Web Text))
Max Activating Token Index: 895
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