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    3. Gemma-2-2B
    5. 22-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    words and phrases from texts about taking care of a lawn

    oai_token-act-pair · gemini-2.0-flash

    weed control

    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
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    SharedDtor
    -0.79
    invokeLater
    -0.76
    ]--;
    -0.63
     typelib
    -0.63
     виправивши
    -0.61
    makeText
    -0.60
    脚注の使い方
    -0.60
    abestanden
    -0.57
    LookAnd
    -0.56
     UIFont
    -0.55
    POSITIVE LOGITS
     weed
    0.80
     Weed
    0.74
    Weed
    0.71
     mo
    0.63
     Mow
    0.63
     Pesticide
    0.61
     weeding
    0.60
     pesticide
    0.60
     pesticides
    0.60
    weed
    0.60
    Activations Density 2.196%

    No Known Activations