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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. 10414
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    Explanations

    metrics related to sports performance

    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
    fillType
    -0.44
     Fund
    -0.44
    Ề
    -0.44
    Código
    -0.44
    IBAN
    -0.43
    leson
    -0.43
    contentLoaded
    -0.43
     fund
    -0.42
    πάρχ
    -0.42
    Fund
    -0.42
    POSITIVE LOGITS
     damage
    0.95
    WebVitals
    0.90
    damage
    0.88
     Damage
    0.81
     dégâts
    0.80
    ########.
    0.79
     DAMAGE
    0.78
    Damage
    0.78
    msgSender
    0.70
     tartalomajánló
    0.68
    Activations Density 0.293%

    No Known Activations