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    Explanations

    the words `ship`, `shipping`, `vessel` or place names like `Salisbury`

    oai_token-act-pair · gemini-2.0-flash

    ship

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_18/width_16k/average_l0_13
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.18.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     automo
    -0.42
    Werdegang
    -0.42
     carro
    -0.39
     coche
    -0.39
     cars
    -0.39
     VEHICLE
    -0.39
    alui
    -0.37
     vehicle
    -0.37
    alet
    -0.37
     voiture
    -0.36
    POSITIVE LOGITS
    =$((
    0.72
    IBOutlet
    0.70
    kháu
    0.68
    hape
    0.67
    OrBuilder
    0.63
    BeginContext
    0.63
    enumii
    0.63
    ')):
    0.62
     JAXBElement
    0.61
    σθαι
    0.60
    Activations Density 0.899%

    No Known Activations