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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. 12596
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    elements related to wear and deterioration

    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
    afficheront
    -0.42
    contentLoaded
    -0.42
     Púb
    -0.41
    tvguidetime
    -0.40
     Biôgrafia
    -0.38
     comuniques
    -0.37
    nóstico
    -0.37
     držav
    -0.36
    ciclopedia
    -0.36
    SuspendLayout
    -0.36
    POSITIVE LOGITS
     Usage
    0.59
     busy
    0.59
    
    0.58
    Busy
    0.56
     busiest
    0.56
     usage
    0.55
    usage
    0.54
     Busy
    0.54
    Usage
    0.53
    busy
    0.51
    Activations Density 0.580%

    No Known Activations