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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. 6858
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    Explanations

    references to odors and fragrances

    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
     SEDS
    -0.39
     bedien
    -0.37
     Gerais
    -0.37
     épis
    -0.37
    verre
    -0.36
     caret
    -0.35
    bedien
    -0.35
     Serialize
    -0.35
    OrEmpty
    -0.34
     détermin
    -0.34
    POSITIVE LOGITS
     smell
    2.53
     smells
    2.33
     smelled
    2.09
     Smell
    2.06
     smelling
    2.06
    smell
    2.05
     odor
    2.02
     scent
    1.95
     odour
    1.92
     odors
    1.92
    Activations Density 0.205%

    No Known Activations