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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 13044
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    INDEX
    Explanations

    terms related to scale and scaling in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    "scale" or "scaling"

    np_acts-logits-general · gemini-2.0-flash

    scale and scaling

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/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.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    DotNetBar
    -0.52
    
    -0.49
     Mite
    -0.48
     yPos
    -0.46
    mide
    -0.46
     Fort
    -0.45
     Mith
    -0.45
     Aide
    -0.45
    Datuak
    -0.45
    inite
    -0.45
    POSITIVE LOGITS
     desmotivaciones
    0.65
     échelle
    0.63
    scale
    0.61
    actéristi
    0.60
    Scale
    0.60
    berdayakan
    0.59
     escala
    0.57
     acrylique
    0.57
     Scarborough
    0.57
    screening
    0.56
    Activations Density 0.424%

    No Known Activations