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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 12261
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    Explanations

    specific food items and dishes, particularly within Malaysian and South Indian cuisine

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

    Malay/Malaysian food names

    np_acts-logits-general · gemini-2.0-flash

    Malay and Indonesian dishes

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    脚注の使い方
    -0.72
    Tembelea
    -0.69
    Personendaten
    -0.69
    सन्दर्भ
    -0.68
     مشين
    -0.68
    abestanden
    -0.67
    tvguidetime
    -0.67
    Clik
    -0.63
     Audiodateien
    -0.59
    CodeAttribute
    -0.59
    POSITIVE LOGITS
     normaux
    0.67
     réglable
    0.58
     culturelles
    0.58
     traditionnels
    0.58
     vectorielles
    0.56
     colorés
    0.55
     abstrait
    0.54
     navideños
    0.54
     élastique
    0.53
     fermés
    0.53
    Activations Density 0.046%

    No Known Activations