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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. MLP Out - 16k
    9. 19-GEMMASCOPE-MLP-16K
    11. 11926
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    INDEX
    Explanations

    references to specific car features or technical specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 19-gemmascope-mlp-16k
    Configuration
    google/gemma-scope-2b-pt-mlp/layer_19/width_16k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.19.hook_mlp_out
    Hook Layer
    19
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ArgsConstructor
    -0.65
     auto
    -0.60
    awtextra
    -0.54
     Avis
    -0.54
     Auto
    -0.54
     garages
    -0.53
    setVerticalGroup
    -0.52
     onBind
    -0.52
     valet
    -0.50
    iM
    -0.50
    POSITIVE LOGITS
    UrlResolution
    0.63
    Tembelea
    0.56
     sled
    0.54
     '\\;'
    0.53
    mybatisplus
    0.53
     Roskov
    0.52
    adpleegd
    0.51
    Abitanti
    0.50
    <\
    0.50
    Jeografia
    0.50
    Activations Density 0.398%

    No Known Activations