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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 10855
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    terms related to biological structures and their interactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_15/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     incentiv
    -1.15
     microbiome
    -1.04
     onboarding
    -1.03
     
    -0.98
     impactful
    -0.97
     incenti
    -0.82
     curated
    -0.81
    qPCR
    -0.80
     nuanced
    -0.79
     LGBTQ
    -0.79
    POSITIVE LOGITS
     daß
    1.44
     läßt
    1.29
     muß
    1.23
    faßt
    1.21
     mußte
    1.21
     mußten
    1.17
     müßte
    1.15
     Daß
    1.08
     skall
    1.07
     wußte
    0.97
    Activations Density 12.239%

    No Known Activations