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    5. 22-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    words appearing in sports articles, specifically soccer

    oai_token-act-pair · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_22/width_16k/average_l0_15
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.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
     مرئيه
    -0.73
    styleUrls
    -0.65
    InjectAttribute
    -0.60
    atguigu
    -0.60
    providedIn
    -0.60
    ɵɵ
    -0.58
    EndContext
    -0.58
     GenerationType
    -0.57
    Rhestr
    -0.57
    AnchorStyles
    -0.56
    POSITIVE LOGITS
    QMetaType
    0.57
     Leo
    0.50
     Golden
    0.50
    oredCriteria
    0.49
     Ky
    0.48
    Ky
    0.47
    Leo
    0.46
     Finger
    0.46
     Lio
    0.46
    Golden
    0.44
    Activations Density 1.459%

    No Known Activations