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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 27-GEMMASCOPE-RES-16K
    11. 10734
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    Explanations

    references to food groups and their diversity in dietary contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 27-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_27/width_16k/average_l0_118
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.27.hook_resid_post
    Hook Layer
    27
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Personendaten
    -0.59
    Rptr
    -0.56
     EconPapers
    -0.54
     Rptr
    -0.48
    czyki
    -0.46
     onBind
    -0.46
    tagext
    -0.45
    tagPool
    -0.44
    quiagem
    -0.44
     künstler
    -0.44
    POSITIVE LOGITS
     grain
    0.90
     wheat
    0.83
     rice
    0.81
     bread
    0.81
    grain
    0.81
     grains
    0.78
     cereal
    0.77
    Grain
    0.76
    wheat
    0.76
     gluten
    0.76
    Activations Density 0.377%

    No Known Activations