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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. MLP Out - 131k
    9. 6-GEMMASCOPE-MLP-131K
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    specifications and measurements related to vehicle performance and features

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-9b-pt-mlp/layer_6/width_131k/average_l0_72
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.6.hook_mlp_out
    Hook Layer
    6
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     pinulongan
    -0.75
    RenderAtEndOf
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     nakalista
    -0.54
     auffi
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    RTGC
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     purpoſe
    -0.54
    IUrlHelper
    -0.53
     Савезне
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    POSITIVE LOGITS
     Nes
    0.38
     Grant
    0.37
    ponses
    0.36
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    0.35
    Rhestr
    0.35
     Rob
    0.34
     Gang
    0.32
    fVar
    0.32
     linkovi
    0.32
    setdefault
    0.32
    Activations Density 0.002%

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