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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B-IT
    4. Residual Stream - 131k
    5. 9-GEMMASCOPE-RES-131K
    6. 113545
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    Explanations

    specific types of food and dishes, particularly from South Asian and Southeast Asian cuisines

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

    food dishes

    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-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
    XmlAccessorType
    -0.58
     Titre
    -0.48
    StoryboardSegue
    -0.47
    userdetails
    -0.46
     pon
    -0.45
     pref
    -0.44
     Diz
    -0.44
     sap
    -0.44
     SEDS
    -0.44
     lenker
    -0.44
    POSITIVE LOGITS
     biryani
    0.63
    yani
    0.52
    anadas
    0.51
     setia
    0.44
    warma
    0.44
     torebka
    0.42
     imaginación
    0.42
     właścic
    0.41
     UMKM
    0.40
    bildēt
    0.40
    Activations Density 0.005%

    No Known Activations