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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B-IT
    4. Residual Stream - 16k
    5. 31-GEMMASCOPE-RES-16K
    6. 16257
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    Explanations

    variations of the word "sharp" in different contexts

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

    "sharp"

    np_acts-logits-general · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_16k/average_l0_76
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MathML
    -0.45
    </table>
    -0.44
    StoryboardSegue
    -0.38
     radiador
    -0.38
    \{\\
    -0.37
    wegen
    -0.37
    Libro
    -0.37
    Pä
    -0.37
    ésult
    -0.37
    Plate
    -0.37
    POSITIVE LOGITS
     Sharp
    1.21
     sharp
    1.16
    sharp
    1.15
    Sharp
    1.09
     SHARP
    1.03
     sharpness
    1.01
     sharper
    0.97
     sharpen
    0.95
     tajam
    0.91
     sharpened
    0.85
    Activations Density 0.091%

    No Known Activations