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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 65k
    9. 13-GEMMASCOPE-RES-65K
    11. 7739
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    terms related to product quality and manufacturing processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 13-gemmascope-res-65k
    Configuration
    google/gemma-scope-2b-pt-res/layer_13/width_65k/average_l0_75
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    65,536
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pleaſure
    -0.76
     kasarigan
    -0.64
     purpoſe
    -0.63
     itſelf
    -0.63
     ExecuteAsync
    -0.62
     MainAxisSize
    -0.61
     esq
    -0.61
     myſelf
    -0.60
     reaſon
    -0.60
     насељу
    -0.59
    POSITIVE LOGITS
     quality
    0.94
     Quality
    0.81
    Quality
    0.80
     product
    0.80
     QUALITY
    0.78
    quality
    0.77
    ImageContext
    0.75
    品質
    0.73
     sản
    0.72
    QUALITY
    0.71
    Activations Density 0.050%

    No Known Activations