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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 14349
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    numerical data and references in academic publications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    帖最后由
    -0.66
    ...</
    -0.57
    :✨
    -0.57
    encodeWith
    -0.55
     оригіналу
    -0.54
    }}</
    -0.53
     <=",
    -0.53
     }}"></
    -0.50
    MigrationBuilder
    -0.49
    RegressionTest
    -0.48
    POSITIVE LOGITS
    ArgsConstructor
    0.60
     Suppl
    0.60
    TableHead
    0.59
    
    0.57
     edn
    0.56
     discloses
    0.55
    出版年
    0.53
     يتيمه
    0.53
    SequentialGroup
    0.53
     klap
    0.50
    Activations Density 0.298%

    No Known Activations