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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 14199
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    proper nouns associated with specific individuals or titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tables
    -0.44
     table
    -0.39
    balleur
    -0.38
    BufferException
    -0.38
     AssemblyCulture
    -0.35
     Table
    -0.35
     levier
    -0.35
     hypo
    -0.34
     tip
    -0.33
    titleMargin
    -0.33
    POSITIVE LOGITS
     Botswana
    0.80
    Botswana
    0.77
     Gabor
    0.66
     AttributeSet
    0.63
    Mme
    0.59
     Mole
    0.57
     Mme
    0.57
     Bots
    0.55
     bots
    0.55
     Mots
    0.54
    Activations Density 0.206%

    No Known Activations