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    3. Gemma-2-2B
    5. 23-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    information about the history and ingredients of sandwiches and burgers

    oai_token-act-pair · gemini-2.0-flash

    Fast food

    np_max-act-logits · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_23/width_16k/average_l0_25
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.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
    aarrggbb
    -0.67
    esserts
    -0.58
     dessert
    -0.58
     tartalomajánló
    -0.57
     cafes
    -0.56
    AddTagHelper
    -0.55
     itinéraires
    -0.54
     breakfasts
    -0.53
    dryer
    -0.53
    cześ
    -0.53
    POSITIVE LOGITS
     fast
    0.67
    ]")]
    0.66
    fast
    0.60
    Immediate
    0.56
     Immediate
    0.54
     GenerationType
    0.50
     vi
    0.50
    Fast
    0.49
    squareup
    0.49
    >−
    0.48
    Activations Density 1.661%

    No Known Activations