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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 34-GEMMASCOPE-RES-16K
    6. 8819
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    medical terminology and references to pharmacological treatments

    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
    oa̍t
    -0.51
    éroport
    -0.48
    thâu
    -0.39
    conde
    -0.38
    hability
    -0.38
    zzá
    -0.38
    ]=>
    -0.37
    帖最后由
    -0.36
     Tamb
    -0.35
    humidité
    -0.35
    POSITIVE LOGITS
     dose
    2.41
     doses
    2.25
     dosage
    2.11
    dose
    2.05
     Dose
    2.02
    Dose
    2.00
     dosis
    1.94
     dosages
    1.93
     Dosis
    1.80
     dosing
    1.80
    Activations Density 1.001%

    No Known Activations