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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. 8468
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    Explanations

    instances of clothing and what people are wearing

    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
     otomatig
    -0.59
    bootstrapcdn
    -0.58
    醐
    -0.58
    ValueStyle
    -0.54
    الحياه
    -0.51
     disambiguazione
    -0.48
    ChildScrollView
    -0.46
     [*]
    -0.45
     disponibilités
    -0.45
     encu
    -0.44
    POSITIVE LOGITS
     headphones
    0.73
     sunglasses
    0.72
     glasses
    0.71
     earphones
    0.66
     goggles
    0.58
     earbuds
    0.57
     eyeglasses
    0.56
     sneakers
    0.52
     jeans
    0.52
     gloves
    0.51
    Activations Density 0.176%

    No Known Activations