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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. 8616
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    Explanations

    elements related to comfort and support in products, particularly footwear and bedding

    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
    bootstrapcdn
    -0.63
    niająca
    -0.56
     maine
    -0.55
     Italijanski
    -0.55
    indro
    -0.53
    PhysRev
    -0.51
    iseite
    -0.51
    ciaio
    -0.50
     дописавши
    -0.49
    空白
    -0.49
    POSITIVE LOGITS
     comfort
    2.42
     Comfort
    2.16
    comfort
    2.16
     comfortable
    2.14
    Comfort
    2.13
     COMFORT
    2.05
    comfortable
    1.95
     Comfortable
    1.91
    Comfortable
    1.81
     comforts
    1.76
    Activations Density 0.224%

    No Known Activations