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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 5942
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    Explanations

    references to "fat" and related terms, particularly in contexts discussing food, health, or physical characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     autorytatywna
    -0.61
    unknownFields
    -0.47
    Diweddarwch
    -0.39
    tagHelperRunner
    -0.38
    новниш
    -0.37
    wia
    -0.36
     ویکی‌پدیای
    -0.36
    sibili
    -0.36
     ģ
    -0.35
     fapt
    -0.35
    POSITIVE LOGITS
    tening
    0.72
    tened
    0.71
    Fat
    0.61
     Fat
    0.60
    fat
    0.57
    FAT
    0.52
     fati
    0.50
    uity
    0.50
     "..\..\
    0.49
     FAT
    0.49
    Activations Density 0.092%

    No Known Activations