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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. 2090
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    Explanations

    references to costumes, clothing, and attire

    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
    execSQL
    -0.48
     abstrato
    -0.43
    mybatisplus
    -0.42
    XmlAccessorType
    -0.41
    nestjs
    -0.40
     '\\;'
    -0.39
    BufferException
    -0.38
    HttpFoundation
    -0.38
     lievito
    -0.36
    rawDesc
    -0.36
    POSITIVE LOGITS
     clothes
    2.53
     clothing
    2.39
     dress
    2.27
     Clothes
    2.13
     dresses
    2.06
    Clothes
    2.05
     attire
    2.05
    clothes
    2.02
     Clothing
    1.99
    Clothing
    1.95
    Activations Density 0.559%

    No Known Activations