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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 11524
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    Explanations

    terms associated with hyper-conditions and related medical terminologies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    埋
    -0.35
    NSError
    -0.32
     recons
    -0.32
     gancho
    -0.31
    ősz
    -0.31
    eterangan
    -0.30
     livré
    -0.30
    CJK
    -0.30
    taki
    -0.30
    rags
    -0.30
    POSITIVE LOGITS
     hyper
    1.14
     Hyper
    1.11
     hiper
    1.00
     HYPER
    0.99
    Hyper
    0.97
    hyper
    0.93
     гипер
    0.87
     Hiper
    0.84
     Hypers
    0.74
     hypo
    0.73
    Activations Density 0.135%

    No Known Activations