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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. MLP Out - 16k
    9. 19-GEMMASCOPE-MLP-16K
    11. 7570
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    phrases related to health and drug-related topics

    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
    Cuáles
    -0.54
    hofen
    -0.52
     bul
    -0.52
    AsUp
    -0.50
    えています
    -0.50
    efore
    -0.50
     piggy
    -0.49
    YLON
    -0.48
    habhar
    -0.48
    FormBorderStyle
    -0.48
    POSITIVE LOGITS
     gesunde
    0.63
     healthy
    0.63
     Healthy
    0.59
     colorés
    0.58
    帖最后由
    0.57
    Healthy
    0.56
     محفوظة
    0.56
     gratuites
    0.56
     scolaires
    0.55
     attivo
    0.54
    Activations Density 0.332%

    No Known Activations