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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 13099
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    Explanations

    situations involving fishing experiences and encounters with marine life

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    astéroïdes
    -0.43
     argint
    -0.39
     industriale
    -0.39
     Klavier
    -0.37
     piani
    -0.35
    deutig
    -0.35
     desmotivaciones
    -0.35
    舺
    -0.34
     intérieure
    -0.34
     popoli
    -0.34
    POSITIVE LOGITS
     anglers
    0.95
     casting
    0.91
     angler
    0.87
     bait
    0.84
     Casting
    0.82
     lures
    0.81
     fishing
    0.80
     baits
    0.80
     lure
    0.77
     casts
    0.76
    Activations Density 0.093%

    No Known Activations