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    5. 24-GEMMASCOPE-TRANSCODER-16K
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    INDEX
    Explanations

    words that commonly appear in crime reports and articles.

    oai_token-act-pair · gemini-2.0-flash

    crime

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_24/width_16k/average_l0_37
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.24.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     שוליים
    -0.61
    StoryboardSegue
    -0.59
     архивлан
    -0.56
    transQ
    -0.53
    igshid
    -0.50
    makeConstraints
    -0.46
    الإنجليزية
    -0.43
    ərbaycan
    -0.42
     molding
    -0.42
     Italijani
    -0.42
    POSITIVE LOGITS
    pexpr
    0.63
    ########.
    0.59
    wpi
    0.56
    kfree
    0.54
     })
    0.51
    FRE
    0.51
    buzo
    0.50
    ragalactic
    0.49
    },[])
    0.49
     pasajeros
    0.48
    Activations Density 1.947%

    No Known Activations