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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 3976
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    Explanations

    references to crimes, specifically in legal contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     būs
    -0.40
     directivos
    -0.40
     înal
    -0.40
     potrivit
    -0.39
     traseira
    -0.38
     Komunikasi
    -0.37
    vraagd
    -0.37
     îna
    -0.36
     urmă
    -0.36
    pNext
    -0.36
    POSITIVE LOGITS
     crime
    0.86
     crimes
    0.84
     CRIME
    0.79
     Crimes
    0.77
     Crime
    0.73
    crimes
    0.73
    crime
    0.73
     robbery
    0.68
    Crime
    0.67
    Theft
    0.65
    Activations Density 0.451%

    No Known Activations