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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 37-GEMMASCOPE-RES-16K
    11. 8060
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    culinary terms related to utensils and cooking methods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 37-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.37.hook_resid_post
    Hook Layer
    37
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Meksiku
    -0.47
    DataAnnotations
    -0.47
    inders
    -0.46
     propOrder
    -0.46
     kaarangay
    -0.44
    RefreshLayout
    -0.44
    URLException
    -0.42
     disambiguazione
    -0.42
     slugs
    -0.42
     concluye
    -0.41
    POSITIVE LOGITS
     brush
    1.03
     brushes
    0.91
     spoon
    0.83
     spatula
    0.76
     Brush
    0.75
    brush
    0.73
     fork
    0.71
     Brushes
    0.70
    brushes
    0.69
     spoons
    0.68
    Activations Density 0.365%

    No Known Activations