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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. 11850
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    terms related to product quality and material characteristics

    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
     onlyOwner
    -0.49
     ConstraintSet
    -0.48
    AlterField
    -0.47
    MessageOf
    -0.47
    postIndex
    -0.44
     نوم
    -0.43
    dormit
    -0.43
     PyTuple
    -0.42
     TextAppearance
    -0.42
     percepción
    -0.42
    POSITIVE LOGITS
     quality
    0.64
    Quality
    0.60
    quality
    0.59
     kvalitet
    0.59
     Qualität
    0.56
     Quality
    0.55
     kalite
    0.55
     jakość
    0.54
     kwaliteit
    0.53
    品質
    0.52
    Activations Density 0.198%

    No Known Activations