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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. 11447
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    references to medical or healthcare-related concepts and attributes

    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
    <bos>
    -1.05
    нен
    -0.35
    </tr>
    -0.34
    ’
    -0.34
    anas
    -0.34
    co
    -0.34
    ер
    -0.34
    qu
    -0.34
    ti
    -0.33
    ra
    -0.33
    POSITIVE LOGITS
     Efq
    0.44
    ViewImports
    0.43
    NUMX
    0.42
    )++;
    0.42
     lenker
    0.41
     crdi
    0.41
    ^(@)
    0.41
     becauſe
    0.40
     المعيارى
    0.40
     Majefty
    0.39
    Activations Density 49.621%

    No Known Activations