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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 7661
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    Explanations

    high-quality standards in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    XmlAccessorType
    -0.47
     spray
    -0.43
     Cla
    -0.41
    croll
    -0.41
    angler
    -0.41
    MathML
    -0.40
    Composable
    -0.40
     Schlu
    -0.40
    braio
    -0.40
     Espinosa
    -0.40
    POSITIVE LOGITS
     quality
    1.17
    quality
    1.04
     qualidade
    1.02
     calidad
    1.02
     kwaliteit
    0.98
     QUALITY
    0.97
     Qualität
    0.94
     qualité
    0.94
    Quality
    0.94
     Quality
    0.93
    Activations Density 0.318%

    No Known Activations