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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. 99580
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    Explanations

    references to patient populations and demographic characteristics

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

    demographic segmentation of populations

    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
    LabelTagHelper
    -0.45
    <?
    -0.35
    )])
    -0.35
    berapa
    -0.34
    Географиясе
    -0.33
    }])
    -0.33
     مك
    -0.32
    دانشنامهٔ
    -0.32
     ब्रेकडाउन
    -0.32
    AutoField
    -0.32
    POSITIVE LOGITS
     demographics
    0.71
     clientele
    0.68
    Demographics
    0.67
     Demographics
    0.67
     demographic
    0.64
    Personendaten
    0.64
    parsedMessage
    0.60
    人群
    0.59
    demographic
    0.58
     Demographic
    0.55
    Activations Density 0.449%

    No Known Activations