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    3. Gemma-2-2B
    5. 18-GEMMASCOPE-TRANSCODER-16K
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    Explanations

    words related to different kinds of common foods like sandwiches, cheese and books

    oai_token-act-pair · 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
    Not in Any Lists

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    Negative Logits
     surla
    -0.63
    idue
    -0.57
    IBOutlet
    -0.50
     Forder
    -0.49
     noDo
    -0.48
    PerformLayout
    -0.48
     maillot
    -0.47
     désolés
    -0.47
    ViewImports
    -0.47
    berto
    -0.47
    POSITIVE LOGITS
     EconPapers
    0.74
    tonsoft
    0.60
     <<<<<<<<<<<<<<
    0.59
    WriteAttribute
    0.56
    RTDA
    0.53
     Maker
    0.52
     VizieR
    0.51
    BeginContext
    0.51
     Longman
    0.51
     Wikimedijinoj
    0.50
    Activations Density 2.052%

    No Known Activations