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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 490
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    references to professional wrestlers and their achievements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_15/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     cavitation
    -0.41
    nextProps
    -0.40
     rosario
    -0.33
     ouvrage
    -0.33
     avoient
    -0.33
     sociedades
    -0.33
     pogod
    -0.33
    ={({
    -0.33
    зонта
    -0.33
     residential
    -0.32
    POSITIVE LOGITS
    PMailer
    0.62
     referrerpolicy
    0.60
     WWE
    0.60
     wrestled
    0.58
    #+#
    0.57
     wrestlers
    0.56
    twimg
    0.54
     wrestling
    0.54
     backstage
    0.54
    WWE
    0.53
    Activations Density 0.177%

    No Known Activations