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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 9543
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    INDEX
    Explanations

    descriptive adjectives and phrases related to sharpness or precision

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

    "sharp" or its variants

    np_acts-logits-general · gemini-2.0-flash

    sharpness

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ViewImports
    -0.60
    thys
    -0.60
    ayout
    -0.59
    RegistryLite
    -0.58
    photobucket
    -0.58
     يول
    -0.56
     participé
    -0.55
    mlx
    -0.55
    PathParam
    -0.54
    спубли
    -0.54
    POSITIVE LOGITS
     Sharp
    1.36
     sharp
    1.33
     SHARP
    1.29
    sharp
    1.16
    Sharp
    1.13
     sharper
    1.13
     sharpen
    1.13
     sharpness
    1.10
     sharpening
    1.03
     sharpened
    1.03
    Activations Density 0.216%

    No Known Activations