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    3. Gemma-2-2B
    5. 25-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    words that are related to people getting something they want.

    oai_token-act-pair · gemini-2.0-flash

    Legal/court cases

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_25/width_16k/average_l0_41
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.25.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
    We
    -0.74
    De
    -0.70
    In
    -0.69
    For
    -0.68
    Can
    -0.68
    No
    -0.68
     varandra
    -0.68
    Mel
    -0.67
    Al
    -0.67
    Pat
    -0.67
    POSITIVE LOGITS
    IMENTS
    0.35
    EntityId
    0.33
    ATIVO
    0.33
    IENTE
    0.32
    IVOS
    0.32
    IGOS
    0.31
    ATIVA
    0.29
    ÓS
    0.29
    ございました
    0.29
     root
    0.28
    Activations Density 52.076%

    No Known Activations