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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 5604
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    INDEX
    Explanations

    medical terms and references to medical entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    "Med" followed by other letters

    np_acts-logits-general · gemini-2.0-flash

    words beginning with Med

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    — 
    -0.58
    NewReader
    -0.56
     vux
    -0.55
     مرئيه
    -0.54
    CGContext
    -0.52
    fromCharCode
    -0.49
    tagHelper
    -0.49
     EconPapers
    -0.48
     immédi
    -0.48
    vernment
    -0.48
    POSITIVE LOGITS
    Personendaten
    0.68
    httphttps
    0.57
    ValueStyle
    0.55
    iterran
    0.51
    complexContent
    0.50
    thod
    0.49
    awtextra
    0.49
     Med
    0.49
    djangoproject
    0.48
    tagHelperRunner
    0.48
    Activations Density 0.103%

    No Known Activations