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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. 5688
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    modal verbs and their various forms in German

    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
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    No Comments

    Negative Logits
    yntaxException
    -0.40
    ngdoc
    -0.37
     désert
    -0.34
     ecológico
    -0.31
     dessus
    -0.29
     deportivo
    -0.29
    ())->
    -0.28
    nestjs
    -0.28
    ceğini
    -0.27
     pauvre
    -0.27
    POSITIVE LOGITS
    ImageContext
    0.64
    parsedMessage
    0.60
    帖最后由
    0.57
    :✨
    0.55
    ьаж
    0.52
    $_['
    0.52
    oredCriteria
    0.51
     وتسجيلات
    0.48
     мәкал
    0.48
    StructEnd
    0.48
    Activations Density 0.103%

    No Known Activations