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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. 3144
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    INDEX
    Explanations

    various types of protective layers or coatings in different contexts

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

    outer coverings

    np_acts-logits-general · gemini-2.0-flash

    shell or sheath

    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
    addPreferredGap
    -0.57
    featureID
    -0.57
     لينك
    -0.49
    Compartir
    -0.46
     CGPoint
    -0.45
    ordinate
    -0.44
    GenerationType
    -0.44
    QMetaType
    -0.44
    intendent
    -0.44
     Prun
    -0.44
    POSITIVE LOGITS
     shell
    1.19
    shell
    1.02
     Shell
    0.97
     shells
    0.94
     SHELL
    0.93
    Shell
    0.93
    SHELL
    0.85
     coating
    0.81
    shells
    0.77
     Shells
    0.76
    Activations Density 0.567%

    No Known Activations