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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 12390
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    references to fashion and clothing trends

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     microbiome
    -0.78
     influencers
    -0.73
     TikTok
    -0.73
     influencer
    -0.73
     IoT
    -0.71
     Instagram
    -0.71
     curated
    -0.71
     Reddit
    -0.69
    网红
    -0.68
     millennials
    -0.66
    POSITIVE LOGITS
     idéia
    0.93
    faßt
    0.90
     muß
    0.88
     läßt
    0.81
     daß
    0.79
     mußten
    0.68
     Daß
    0.67
     biß
    0.66
     müßte
    0.64
    ㄛ
    0.63
    Activations Density 1.007%

    No Known Activations