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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
    11. 110950
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    Explanations

    references to quality and its measurement in various contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
     quality
    -0.58
     estekak
    -0.54
     NSCoder
    -0.52
    SpringBootTest
    -0.50
    LabelTagHelper
    -0.49
    Lähteet
    -0.47
    Bronnen
    -0.46
    quality
    -0.45
    tagHelperRunner
    -0.45
     QUALITY
    -0.45
    POSITIVE LOGITS
     RIPRODUZIONE
    0.33
    btnBack
    0.32
    LOAT
    0.31
    дцать
    0.31
    Natural
    0.31
    vec
    0.30
    :✨
    0.30
     bloom
    0.30
     bas
    0.30
     Tanah
    0.30
    Activations Density 0.009%

    No Known Activations