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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 12847
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    Explanations

    references to specific people or characters, particularly names related to contributions in a film or literary context

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

    surnames and places

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     nakalista
    -0.62
     виправивши
    -0.61
    Personensuche
    -0.57
     saites
    -0.52
     Biôgrafia
    -0.52
     jspb
    -0.50
     فريبيس
    -0.49
    __(/*!
    -0.49
     AppCompat
    -0.49
    
    -0.47
    POSITIVE LOGITS
     ternura
    0.48
     romántico
    0.48
    slidesToShow
    0.46
    ServiceModel
    0.45
     Macle
    0.44
     défaite
    0.43
    gelopen
    0.42
     pelatih
    0.42
     FormsModule
    0.41
     peça
    0.41
    Activations Density 0.050%

    No Known Activations