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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 9785
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    references to awards and nominations in the context of film and acting

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     חיצוניים
    -0.57
     betweenstory
    -0.57
     AttributeSet
    -0.52
    sidemargin
    -0.52
    setVerticalGroup
    -0.50
    PreferredItem
    -0.49
    цездатний
    -0.49
    IsPostBack
    -0.49
     Lightboxes
    -0.48
     ExecuteAsync
    -0.47
    POSITIVE LOGITS
     Nobel
    0.50
     winning
    0.50
     récomp
    0.48
    获奖
    0.47
     winner
    0.47
     awarded
    0.47
    WINNER
    0.45
     award
    0.44
    })));
    0.44
    Nobel
    0.44
    Activations Density 0.208%

    No Known Activations