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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 7-GEMMASCOPE-RES-16K
    11. 6852
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    Explanations

    references to costs and cost-effectiveness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_7/width_16k/average_l0_69
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dumas
    -0.83
    ]]
    -0.81
     Berthe
    -0.79
    eloma
    -0.78
     parlamentar
    -0.77
    rizona
    -0.77
     Jeremiah
    -0.77
     Leclerc
    -0.77
     Babylon
    -0.77
     Scherer
    -0.76
    POSITIVE LOGITS
     COST
    1.74
     cost
    1.73
     Cost
    1.70
    Cost
    1.61
    cost
    1.60
    COST
    1.56
     costs
    1.51
     Kost
    1.44
     Costs
    1.35
    costs
    1.26
    Activations Density 0.037%

    No Known Activations