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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. 127169
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    Explanations

    references to categories and classes of felonies and theft-related offenses

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

    felony and misdemeanors

    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
     nahilalakip
    -0.87
     estekak
    -0.71
     kasarigan
    -0.66
    webElementXpaths
    -0.65
     INTERESAR
    -0.63
    findpost
    -0.62
    RegressionTest
    -0.61
    новниш
    -0.60
    Geographie
    -0.60
    PostInfinity
    -0.59
    POSITIVE LOGITS
     felony
    0.44
     fel
    0.40
     misdemeanor
    0.35
    🟤
    0.29
     criminal
    0.28
     macro
    0.27
     crimin
    0.25
    getline
    0.24
     đạo
    0.24
     saber
    0.24
    Activations Density 0.207%

    No Known Activations