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

    sentences in the third person mentioning food, cooking, or restaurants

    oai_token-act-pair · gemini-2.0-flash

    food preparation

    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
    ImageContext
    -0.76
    webElementXpaths
    -0.70
     незавершена
    -0.69
    Controllo
    -0.69
    smithy
    -0.69
    KEYCODE
    -0.66
    complexContent
    -0.65
    basicConfig
    -0.64
    istoitu
    -0.62
    SharedDtor
    -0.60
    POSITIVE LOGITS
     prepare
    0.67
    preparation
    0.60
     preparation
    0.60
     taste
    0.60
    preparing
    0.58
     Prepare
    0.57
     toast
    0.57
     prepares
    0.56
    prepare
    0.55
    Prepare
    0.55
    Activations Density 6.961%

    No Known Activations