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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. 12165
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    Explanations

    phrases that discuss the elderly population and healthcare issues

    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
    PerformLayout
    -0.90
    Hochspringen
    -0.76
    NameInMap
    -0.70
     lenker
    -0.70
    Vidite
    -0.67
    IsContent
    -0.64
    migrationBuilder
    -0.63
    afficheront
    -0.63
    ValueGeneration
    -0.60
    exitRule
    -0.60
    POSITIVE LOGITS
     gọn
    0.51
    مقاله
    0.49
    شهاد
    0.49
    Παραπομπές
    0.47
    batore
    0.44
    inject
    0.42
    INSEE
    0.42
    catori
    0.41
     Stead
    0.41
    schild
    0.41
    Activations Density 0.071%

    No Known Activations