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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. 3951
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    Explanations

    references to consumer behavior and product quality

    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
    pausal
    -0.42
    newArrayList
    -0.28
     origines
    -0.28
     приго
    -0.28
    Body
    -0.27
     origin
    -0.27
     origins
    -0.27
     galo
    -0.27
     umana
    -0.27
     vorg
    -0.27
    POSITIVE LOGITS
     quality
    0.77
    localctx
    0.77
    AccessorTable
    0.73
    RenderAtEndOf
    0.72
    quality
    0.70
     качество
    0.67
     autorytatywna
    0.66
    Quality
    0.65
    WaitGroup
    0.65
     QUALITY
    0.65
    Activations Density 0.321%

    No Known Activations