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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 4902
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    INDEX
    Explanations

    intensifiers or adverbs of degree that emphasize quality or quantity

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

    the word "very" appearing at the beginning of sentences or phrases.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/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.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
     الرياضيه
    -0.59
     SwitchCompat
    -0.58
    DataSnapshot
    -0.47
    scut
    -0.45
    IntoConstraints
    -0.43
    הערות
    -0.41
    ScopeManager
    -0.40
    Composable
    -0.39
    Kend
    -0.39
     saha
    -0.39
    POSITIVE LOGITS
    stdarg
    0.58
    Molto
    0.54
     VERY
    0.53
     much
    0.50
     Molto
    0.49
    ">//
    0.47
     rarely
    0.46
     important
    0.46
    madamente
    0.45
     المعيارى
    0.45
    Activations Density 0.110%

    No Known Activations