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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. 116846
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    Explanations

    terms related to habitual offenders in a legal context

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

    person who commits wrongdoing

    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
    PRNewswire
    -0.42
     samarbeid
    -0.39
    FileInputStream
    -0.39
    Map
    -0.38
    Simply
    -0.37
    Ap
    -0.37
     Vaticano
    -0.37
    CreateMap
    -0.37
     mustache
    -0.36
    map
    -0.36
    POSITIVE LOGITS
     offender
    1.98
     offenders
    1.88
     perpetrator
    0.94
     perpetrators
    0.93
     criminals
    0.85
     felon
    0.83
     betweenstory
    0.81
     culprit
    0.79
     abuser
    0.78
     sinner
    0.74
    Activations Density 0.009%

    No Known Activations