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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 1-GEMMASCOPE-RES-16K
    11. 2837
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    Explanations

    references to quality 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 @ 1-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_1/width_16k/average_l0_69
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.1.hook_resid_post
    Hook Layer
    1
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Predecesor
    -0.53
     Lokales
    -0.52
    XmlEnum
    -0.47
     consultato
    -0.43
    Chham
    -0.42
    jména
    -0.42
    Ligações
    -0.42
    chell
    -0.41
     verdieping
    -0.41
     micrófono
    -0.41
    POSITIVE LOGITS
     Quality
    1.64
    Quality
    1.63
    quality
    1.47
     QUALITY
    1.38
    QUALITY
    1.38
     quality
    1.24
     Calidad
    1.01
    Качество
    0.99
    Calidad
    0.99
     Qualität
    0.94
    Activations Density 0.235%

    No Known Activations