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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 12799
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    references to the Veterans Health Administration and its related programs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    clairage
    -0.35
    InputBorder
    -0.33
    êque
    -0.32
     ballet
    -0.32
    ballet
    -0.32
    殴
    -0.32
    phosa
    -0.32
    @[+][
    -0.31
    Rac
    -0.31
    XmlAccessorType
    -0.31
    POSITIVE LOGITS
     veterans
    1.51
     Veteran
    1.37
     Veterans
    1.36
    Veterans
    1.33
     veteran
    1.32
    Veteran
    1.29
     vets
    1.27
    veter
    1.23
     VETER
    1.22
     Veter
    1.16
    Activations Density 0.289%

    No Known Activations