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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. 110412
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    Explanations

    references to titles and how they are used in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
     titles
    -1.45
     Titles
    -1.23
    titles
    -1.16
    Titles
    -1.14
     títulos
    -0.91
     titres
    -0.74
     titoli
    -0.71
    ValueStyle
    -0.56
    webElementXpaths
    -0.49
     tartalomajánló
    -0.48
    POSITIVE LOGITS
     readonly
    0.41
    رشف
    0.40
     gif
    0.40
     الرياضيه
    0.39
     Hugo
    0.39
    ccas
    0.38
    astia
    0.38
     rocker
    0.38
     Cares
    0.38
     TRACE
    0.36
    Activations Density 0.002%

    No Known Activations