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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 88
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    Explanations

    terms related to automotive brands and vehicle specifications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OGND
    -0.58
    TypedDataSet
    -0.41
    autaire
    -0.38
     Pedersen
    -0.38
     PyLong
    -0.38
     kaupung
    -0.36
    InputBorder
    -0.36
    andoah
    -0.36
    oredCriteria
    -0.36
     ActivatedRoute
    -0.35
    POSITIVE LOGITS
     Mercedes
    1.16
     BMW
    1.15
     Toyota
    1.07
     Porsche
    1.07
     Yamaha
    1.05
     Honda
    1.04
     Hyundai
    1.04
     Audi
    1.04
     Nissan
    1.04
     Ford
    1.02
    Activations Density 0.314%

    No Known Activations