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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. 9288
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    Explanations

    references to food courts and dining experiences

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

    food courts

    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
    XmlAccessorType
    -0.46
    Encyklopedia
    -0.42
     BrowserModule
    -0.40
    XmlAccessType
    -0.40
     decote
    -0.38
     Conditioning
    -0.38
     enseignants
    -0.37
     keper
    -0.36
     iParam
    -0.36
    Referanser
    -0.36
    POSITIVE LOGITS
     food
    1.16
     Food
    0.98
    Food
    0.96
    food
    0.94
     FOOD
    0.92
     street
    0.81
    FOOD
    0.80
    street
    0.73
     comida
    0.69
     Street
    0.68
    Activations Density 0.043%

    No Known Activations