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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 13-GEMMASCOPE-RES-16K
    11. 4732
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    Explanations

    references to various types of bags and purses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 13-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_13/width_16k/average_l0_132
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.13.hook_resid_post
    Hook Layer
    13
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     BitSet
    -0.41
    ❋
    -0.40
    eradish
    -0.38
    endix
    -0.37
    warten
    -0.36
    Diwedd
    -0.36
     ReactDOM
    -0.35
    fillType
    -0.35
     Embedded
    -0.35
    !(:
    -0.35
    POSITIVE LOGITS
     bag
    1.09
     bags
    1.02
    Bag
    0.92
     Bag
    0.92
    bag
    0.90
     Bags
    0.90
     handbag
    0.89
    bags
    0.88
    Bags
    0.87
     handbags
    0.86
    Activations Density 0.131%

    No Known Activations