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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 12243
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    references to lectures or educational contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Personendaten
    -0.59
    Дереккөздер
    -0.56
    bypass
    -0.54
    abetes
    -0.53
    出版年
    -0.52
    acts
    -0.51
     wypad
    -0.50
     isSuccess
    -0.50
     bArr
    -0.50
    zas
    -0.50
    POSITIVE LOGITS
     scent
    1.07
     smell
    0.94
     fragrance
    0.80
     smells
    0.77
     odor
    0.73
     aroma
    0.71
     scents
    0.70
     Duft
    0.65
     perfume
    0.65
     lecture
    0.65
    Activations Density 0.192%

    No Known Activations