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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 8916
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    Explanations

    references to bags and carrying items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     balcón
    -0.40
    InjectAttribute
    -0.40
    DIPSETTING
    -0.40
    reportWebVitals
    -0.39
    Qed
    -0.38
    SharedCtor
    -0.38
    __(/*!
    -0.37
    belec
    -0.37
     بحر
    -0.36
    specialchars
    -0.36
    POSITIVE LOGITS
     bag
    2.06
     bags
    2.00
     Bags
    1.80
    Bags
    1.70
    bag
    1.66
     Bag
    1.66
    bags
    1.64
    Bag
    1.62
     backpacks
    1.59
     luggage
    1.59
    Activations Density 0.176%

    No Known Activations