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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 9511
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    terms associated with wear and tear

    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
    IntoConstraints
    -0.58
    tonsoft
    -0.44
    PDOException
    -0.43
     zp
    -0.42
    醐
    -0.41
    tisgarh
    -0.41
     Salmo
    -0.40
    PS
    -0.40
     Pol
    -0.40
    HUB
    -0.40
    POSITIVE LOGITS
     Wear
    0.65
    Wear
    0.61
    isome
    0.59
    Datuak
    0.57
    UrlResolution
    0.57
     WEAR
    0.57
     worn
    0.56
     wear
    0.55
    etragen
    0.47
     dentaire
    0.45
    Activations Density 0.059%

    No Known Activations