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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 12198
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    references to iconic characters and pop culture elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     krwi
    -0.48
    olingo
    -0.44
    SerializeField
    -0.44
     capuz
    -0.42
     Polda
    -0.40
     Producción
    -0.40
     becauſe
    -0.39
     jepang
    -0.39
     kepolisian
    -0.39
     témoignage
    -0.39
    POSITIVE LOGITS
    verwijspagina
    0.62
     للاسماء
    0.58
    MessageOf
    0.57
     kaarangay
    0.52
    rungsseite
    0.52
     Sme
    0.50
     iconic
    0.50
    Sme
    0.49
     Sma
    0.48
    PyExc
    0.47
    Activations Density 0.303%

    No Known Activations