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    5. 23-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    words related to the ocean, especially the deep ocean and its inhabitants, like sharks

    oai_token-act-pair · gemini-2.0-flash

    ocean/sea context

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_23/width_16k/average_l0_25
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.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
    Snow
    -0.61
    snow
    -0.60
    قایناقلار
    -0.59
     CreateTagHelper
    -0.59
    ("")]
    -0.58
     "",
    -0.58
     Exactos
    -0.56
    ')]
    -0.56
    )";
    -0.54
    )");
    -0.54
    POSITIVE LOGITS
     schools
    0.62
     school
    0.60
    TemporalType
    0.57
    school
    0.56
    indian
    0.55
    requireNonNull
    0.55
     surface
    0.52
    chool
    0.52
     Oberfläche
    0.52
     Indian
    0.50
    Activations Density 2.552%

    No Known Activations