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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 6080
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    Explanations

    medical terminology related to patient care and treatments

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

    Text after citations

    np_acts-logits-general · gemini-2.0-flash

    patients in medical contexts

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/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.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
    ########.
    -0.68
     snippetHide
    -0.62
     صوتيه
    -0.61
    sidemargin
    -0.60
    niająca
    -0.57
    NameInMap
    -0.56
     Вікі
    -0.54
     OFDb
    -0.53
    UnusedPrivate
    -0.52
    RegressionTest
    -0.50
    POSITIVE LOGITS
    ousse
    0.39
    cámara
    0.39
    setColumns
    0.39
    AutoSize
    0.36
     Azz
    0.35
    substack
    0.34
    ilo
    0.34
     Gier
    0.34
    Lec
    0.33
    msgid
    0.33
    Activations Density 2.154%

    No Known Activations