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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. MLP Out - 131k
    9. 6-GEMMASCOPE-MLP-131K
    11. 107868
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    concepts related to medical malpractice or injuries

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-9b-pt-mlp/layer_6/width_131k/average_l0_72
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.6.hook_mlp_out
    Hook Layer
    6
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     otomatig
    -0.50
    SerializedName
    -0.50
    ppo
    -0.46
    ########.
    -0.46
    atzes
    -0.46
    govine
    -0.45
     Ruiz
    -0.43
    prüche
    -0.43
     Marino
    -0.42
    pon
    -0.42
    POSITIVE LOGITS
    ReusableCell
    0.49
    Autoritní
    0.45
    expandindo
    0.45
    makeText
    0.45
    isNameExpr
    0.44
    addGap
    0.44
    хьтан
    0.40
     <>",
    0.40
     demais
    0.39
     papà
    0.39
    Activations Density 0.011%

    No Known Activations