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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 5652
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    references to sports events and athlete performances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    styleType
    -0.55
     Biôgrafia
    -0.55
     kasarigan
    -0.54
     فريبيس
    -0.54
    Personendaten
    -0.51
     propOrder
    -0.50
     ModelExpression
    -0.48
    دانشنامهٔ
    -0.48
    MessageOf
    -0.48
    المشاركات
    -0.48
    POSITIVE LOGITS
     bénévol
    0.52
     ensaio
    0.48
     setempat
    0.44
     junior
    0.43
     inscrição
    0.42
     Junior
    0.41
     esterna
    0.41
    Junior
    0.41
     amateur
    0.40
     hobby
    0.40
    Activations Density 0.202%

    No Known Activations