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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 39-GEMMASCOPE-RES-16K
    11. 4814
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    quantitative data and statistical patterns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 39-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.39.hook_resid_post
    Hook Layer
    39
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     للاسماء
    -0.63
    帖最后由
    -0.56
    findpost
    -0.52
     estekak
    -0.50
    SourceChecksum
    -0.50
     jspb
    -0.50
    Tembelea
    -0.49
     Sem
    -0.49
     ویکی‌پدی
    -0.48
    Sem
    -0.47
    POSITIVE LOGITS
     quarter
    0.65
     thirds
    0.62
     Drittel
    0.60
     tercio
    0.59
     third
    0.58
    ⅓
    0.56
    三分
    0.55
     тре
    0.52
    треть
    0.52
    third
    0.51
    Activations Density 0.426%

    No Known Activations