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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. 8466
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    terms related to orthopedic conditions and complications

    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
     skeletal
    -0.48
     bones
    -0.46
     Kiefer
    -0.44
     Skeletal
    -0.44
     vertebra
    -0.43
    LookAnd
    -0.43
    PreInfinity
    -0.43
     abdominal
    -0.42
     knuckles
    -0.42
     vertebrae
    -0.42
    POSITIVE LOGITS
     disambiguazione
    0.52
    sizeCache
    0.46
     instability
    0.44
     ballot
    0.42
    KommentareTeilen
    0.42
     Instability
    0.40
    ußen
    0.40
    TAWA
    0.38
    Nuorodos
    0.38
     pat
    0.37
    Activations Density 0.658%

    No Known Activations