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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 33-GEMMASCOPE-RES-16K
    6. 153
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    Explanations

    quantitative measurements and dimensions related to materials, particularly their thickness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     grand
    -0.38
    INARY
    -0.33
    msgstr
    -0.32
    Janet
    -0.32
     charter
    -0.32
     Jara
    -0.32
     Janet
    -0.31
    sterreich
    -0.31
    ratory
    -0.31
    gnal
    -0.31
    POSITIVE LOGITS
     thickness
    2.81
     thick
    2.61
     thicker
    2.55
     Thickness
    2.52
     thin
    2.52
     thicknesses
    2.50
     thinner
    2.38
    thickness
    2.38
     Thick
    2.36
    Thick
    2.34
    Activations Density 0.461%

    No Known Activations