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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 753
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    Explanations

    the presence of the word "very" and variations of emphasis on its usage

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_0/width_16k/average_l0_105
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DoubleQuotes
    -0.52
    不少
    -0.47
     licencias
    -0.46
     membayar
    -0.45
    webElementXpaths
    -0.45
    $__
    -0.45
     entrer
    -0.44
     tehdä
    -0.44
    мб
    -0.44
     tyle
    -0.44
    POSITIVE LOGITS
     crush
    0.92
     very
    0.90
    very
    0.89
    VERY
    0.83
    Very
    0.81
     المعيارى
    0.81
     Punjab
    0.76
    crush
    0.73
     Crush
    0.72
     crushing
    0.72
    Activations Density 0.152%

    No Known Activations