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    3. Gemma-2-2B
    5. 19-GEMMASCOPE-TRANSCODER-16K
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    INDEX
    Explanations

    references to pop culture like movies, celebrities, and tech companies.

    oai_token-act-pair · gemini-2.0-flash

    Company names

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_19/width_16k/average_l0_12
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.19.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
     nakalista
    -1.05
    RenderAtEndOf
    -1.02
     OFDb
    -0.84
     betweenstory
    -0.84
     TextInputType
    -0.82
    Personensuche
    -0.81
    \{\\
    -0.80
    makeConstraints
    -0.79
    webElementGuid
    -0.79
     scolaires
    -0.78
    POSITIVE LOGITS
     Google
    0.56
     Disney
    0.44
     Amazon
    0.44
     
    0.43
     Batman
    0.42
     Obama
    0.41
     Facebook
    0.40
     Twitter
    0.39
     (
    0.38
     Ronald
    0.38
    Activations Density 4.824%

    No Known Activations