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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 37950
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    Explanations

    references to "mo," indicating a focus on specific medical terms related to oncology or related research contexts

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

    ophthalmologists, sigmoidal

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     препратки
    -0.60
    RegressionTest
    -0.58
    -------------</
    -0.57
     CURIAM
    -0.56
    ukary
    -0.54
    ſcher
    -0.52
    WriteBarrier
    -0.52
     contemporánea
    -0.52
    anguardia
    -0.52
    près
    -0.52
    POSITIVE LOGITS
    mo
    2.61
     mo
    1.95
    MO
    1.84
    Mo
    1.81
     Mo
    1.73
     MO
    1.52
    мо
    1.34
    モ
    1.20
     мо
    1.13
    mox
    1.00
    Activations Density 0.007%

    No Known Activations