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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 13-GEMMASCOPE-RES-16K
    11. 3920
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    Explanations

    entities related to urban infrastructure, such as buildings and transport systems

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 13-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_13/width_16k/average_l0_132
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    setViewName
    -0.38
    ckeye
    -0.36
    maline
    -0.33
    prüche
    -0.33
    ❡
    -0.32
    Климат
    -0.32
    umab
    -0.31
    portál
    -0.31
     wó
    -0.31
    IsUnicode
    -0.31
    POSITIVE LOGITS
     disambiguazione
    0.56
    expandindo
    0.50
     насељу
    0.47
     مرئيه
    0.46
    URLConnection
    0.44
     continúas
    0.44
    Mutagenicity
    0.42
     kaynağından
    0.41
     AppCompatTheme
    0.41
    tinyos
    0.41
    Activations Density 0.485%

    No Known Activations