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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. 35672
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    Explanations

    mentions of dining, nightlife, and culinary experiences in Kuala Lumpur

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

    dining and nightlife scenes

    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
    verwijspagina
    -0.60
     AssemblyVersion
    -0.58
    XmlAccessorType
    -0.56
     HasFactory
    -0.53
    MemoryWarning
    -0.52
    FormUrlEncoded
    -0.49
    ReusableCell
    -0.48
    TargetException
    -0.48
    +#+#
    -0.48
    GeneratedMessage
    -0.47
    POSITIVE LOGITS
     scene
    1.30
    scene
    1.08
     escena
    1.05
     scène
    1.02
     SCENE
    0.99
     Scene
    0.96
     Szene
    0.93
     scena
    0.93
    Scene
    0.92
    SCENE
    0.89
    Activations Density 0.043%

    No Known Activations