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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. 6282
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    Explanations

    mentions of various cuisines and their associated dishes

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

    before "cuisine", "medicine", "film" or similar

    np_acts-logits-general · gemini-2.0-flash

    asian countries and traditions

    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
     oposición
    -0.40
     golfe
    -0.39
     húmedo
    -0.38
     Bekasi
    -0.37
     Aufstieg
    -0.36
     vinilo
    -0.35
     autocollant
    -0.34
     capuche
    -0.34
     fotográfico
    -0.34
    }}/>
    -0.33
    POSITIVE LOGITS
     BoxFit
    0.62
     Chinese
    0.54
    hemian
    0.53
    oriental
    0.53
    asian
    0.51
    chaun
    0.51
     Relax
    0.51
     Asian
    0.50
    GOTREF
    0.50
     Oriental
    0.49
    Activations Density 0.254%

    No Known Activations