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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 12-GEMMASCOPE-RES-16K
    11. 2401
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    Explanations

    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 @ 12-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_12/width_16k/average_l0_130
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.12.hook_resid_post
    Hook Layer
    12
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    jspb
    -0.50
     cavitation
    -0.45
    Ancho
    -0.44
    Tecnologia
    -0.40
     FormBuilder
    -0.40
    rungsseite
    -0.40
    orance
    -0.38
     Lupin
    -0.38
     Ruskin
    -0.38
    enscha
    -0.38
    POSITIVE LOGITS
     WWE
    0.74
    WWE
    0.73
     wwe
    0.60
     Wrestling
    0.57
     wrestlers
    0.57
     wrestling
    0.52
     WrestleMania
    0.52
    wwe
    0.51
     wrestler
    0.50
     backstage
    0.49
    Activations Density 0.129%

    No Known Activations