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    5. 22-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    technical terms related to visual attention associative learning

    oai_token-act-pair · gemini-2.0-flash

    scientific papers

    np_max-act-logits · 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
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    Negative Logits
    DockStyle
    -0.63
     contextLoads
    -0.51
     Quora
    -0.51
     cadeiras
    -0.49
     مشين
    -0.49
    المشاركات
    -0.48
     impegn
    -0.48
     aDecoder
    -0.48
     BrowserModule
    -0.47
    subplots
    -0.47
    POSITIVE LOGITS
    tagHelperRunner
    0.68
     protoimpl
    0.55
    ophon
    0.54
    ][-
    0.54
    ITUTE
    0.51
    itudes
    0.50
    psilon
    0.49
    itude
    0.48
    }),
    0.48
     iNdEx
    0.47
    Activations Density 11.807%

    No Known Activations