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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. 1690
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    specific brands or types of vehicles and their attributes

    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
    Not in Any Lists

    No Comments

    Negative Logits
    
    -0.57
    ьаж
    -0.55
     ujednoznacz
    -0.53
    utilisons
    -0.52
    tvguidetime
    -0.49
     ostavi
    -0.49
    bewerken
    -0.48
     newOwner
    -0.44
     CanadaChoose
    -0.44
    Predecesor
    -0.43
    POSITIVE LOGITS
     Mint
    0.89
     mint
    0.84
     coin
    0.79
    Mint
    0.78
     Coin
    0.69
    mint
    0.69
    Coin
    0.66
     obverse
    0.66
     struck
    0.64
     coins
    0.64
    Activations Density 0.127%

    No Known Activations