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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 6481
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    terms related to venous anatomy and medical conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/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.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     conscious
    -0.32
     skues
    -0.31
     tiden
    -0.30
     getattr
    -0.29
     institucional
    -0.29
     daglig
    -0.29
     entretien
    -0.29
     hidrá
    -0.28
    cuál
    -0.28
     raras
    -0.28
    POSITIVE LOGITS
     Ven
    0.90
    Ven
    0.80
    Personensuche
    0.79
     يتيمه
    0.75
    RegistryLite
    0.70
     Venue
    0.70
    IntoConstraints
    0.69
     ven
    0.67
    LookAnd
    0.67
     VEN
    0.65
    Activations Density 0.140%

    No Known Activations