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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. 10870
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    Explanations

    references to financial costs and economic implications

    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
     snippetHide
    -0.40
    lectic
    -0.36
    Бахар
    -0.36
    afficheront
    -0.35
    ännande
    -0.35
    voyer
    -0.34
     나는
    -0.34
     nahilalakip
    -0.34
     ivelany
    -0.34
    脚注の使い方
    -0.34
    POSITIVE LOGITS
     cost
    3.61
     costs
    3.20
    cost
    3.06
     Cost
    2.97
    Cost
    2.92
     COST
    2.78
     Costs
    2.70
    COST
    2.70
    costs
    2.67
    Costs
    2.59
    Activations Density 0.679%

    No Known Activations