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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. 8699
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    Explanations

    specific references to criminal cases or legal contexts involving individuals and their detentions

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

    criminals and incarceration

    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
    Rüyada
    -0.44
    フィシャル
    -0.33
    InjectAttribute
    -0.30
     darbo
    -0.30
    farwyddwr
    -0.30
     CURIAM
    -0.30
     ujednoznacz
    -0.30
    estría
    -0.29
    ņas
    -0.29
    AutoModerator
    -0.29
    POSITIVE LOGITS
     convicted
    1.09
     sentenced
    0.79
     prisoners
    0.75
     murderers
    0.74
     murderer
    0.74
     criminals
    0.74
     convicts
    0.74
     imprisoned
    0.72
     prisoner
    0.71
     rapist
    0.71
    Activations Density 0.306%

    No Known Activations