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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. 9284
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    questions related to code quality and design patterns

    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
    rungsseite
    -0.58
    帖最后由
    -0.55
    Билгалдахарш
    -0.54
     ligiloj
    -0.51
    endpush
    -0.43
    enterOuterAlt
    -0.42
    httphttps
    -0.42
    __':
    -0.41
     rapporte
    -0.40
    URLException
    -0.40
    POSITIVE LOGITS
     refactor
    0.68
     code
    0.57
     readability
    0.56
     clean
    0.55
     encapsulation
    0.54
     DRY
    0.54
     cleaner
    0.54
     reus
    0.53
     Clean
    0.53
     código
    0.53
    Activations Density 1.005%

    No Known Activations