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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 14145
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    Explanations

    references to jackets and coats

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    帖最后由
    -0.61
    ✨:
    -0.51
    Datuak
    -0.51
     Réponses
    -0.45
     Eins
    -0.45
    SequentialGroup
    -0.44
    Personensuche
    -0.44
    FunctionFlags
    -0.44
    vább
    -0.43
     gradova
    -0.43
    POSITIVE LOGITS
     jacket
    0.73
     Jacket
    0.69
     jackets
    0.66
     Jackets
    0.63
     coat
    0.62
    jacket
    0.60
    Jacket
    0.58
     armor
    0.56
    Coat
    0.55
     overcoat
    0.54
    Activations Density 0.647%

    No Known Activations