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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 6676
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    terms related to fashion and workplace attire

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    曖昧さ回避
    -0.56
     Plaster
    -0.55
     שוליים
    -0.53
    onné
    -0.53
     '+':
    -0.52
    MenuInflater
    -0.51
     Epoxy
    -0.49
     Surgeon
    -0.49
     Aplica
    -0.49
    افية
    -0.49
    POSITIVE LOGITS
     casual
    0.88
     formal
    0.81
     wardrobe
    0.80
     outfits
    0.76
     dress
    0.73
     Casual
    0.71
     dres
    0.71
    casual
    0.71
    formal
    0.69
    Casual
    0.69
    Activations Density 0.143%

    No Known Activations