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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 7806
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    INDEX
    Explanations

    elements related to coding and database models in the context of Django and ORM frameworks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    Database field/model definitions

    np_acts-logits-general · gemini-2.0-flash

    modelmodel fields

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    magma
    -0.43
    matchCondition
    -0.42
    UrlResolution
    -0.36
    Pancake
    -0.35
     orçamento
    -0.35
     myſelf
    -0.34
     calmed
    -0.34
    loride
    -0.34
    zbęd
    -0.33
    zych
    -0.33
    POSITIVE LOGITS
    AutoField
    0.77
    >{@
    0.63
    NameInMap
    0.58
     NSCoder
    0.57
    ValueGenerated
    0.57
    ModelSerializer
    0.56
    CreateModel
    0.55
    ImageField
    0.54
     GenerationType
    0.53
    IVEREF
    0.52
    Activations Density 0.333%

    No Known Activations