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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 510
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    specific vehicle models and references to their features or specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    脚注の使い方
    -1.12
    twimg
    -1.02
    SequentialGroup
    -0.86
    MethodManager
    -0.82
    httphttps
    -0.79
    CloseOperation
    -0.78
    GraphicsUnit
    -0.78
    tagHelperRunner
    -0.75
     ModelExpression
    -0.75
    */;
    -0.74
    POSITIVE LOGITS
     serii
    0.50
     series
    0.48
     Series
    0.47
     incele
    0.44
    Series
    0.43
     série
    0.42
     Advanced
    0.42
     modello
    0.41
    .
    0.40
     séries
    0.40
    Activations Density 0.604%

    No Known Activations