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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 35818
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    Explanations

    references to tissue analysis and pathological observations in medical contexts

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

    organs and tissues

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ագրություններ
    -0.44
    bottomrule
    -0.42
    urlpatterns
    -0.41
     autorytatywna
    -0.41
    évaluateur
    -0.40
     становника
    -0.39
     élé
    -0.37
    исленность
    -0.37
     applied
    -0.36
     Nghi
    -0.36
    POSITIVE LOGITS
     organs
    1.42
     organ
    1.32
     liver
    1.31
     kidneys
    1.29
     kidney
    1.20
     Organs
    1.15
     lungs
    1.12
     Liver
    1.09
    Liver
    1.05
     Organ
    0.98
    Activations Density 0.250%

    No Known Activations