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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. 4041
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    scientific terminology related to immunology and cancer research

    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
     microbiome
    -0.79
     impactful
    -0.79
     comorbidities
    -0.75
     showcased
    -0.68
     CRISPR
    -0.68
     leveraged
    -0.66
     blurry
    -0.65
     standalone
    -0.65
     transitioning
    -0.65
     incentiv
    -0.65
    POSITIVE LOGITS
    faßt
    0.87
     daß
    0.75
     muß
    0.74
     läßt
    0.73
     Schluß
    0.61
     Miß
    0.55
     изпол
    0.53
     mußten
    0.52
     mußte
    0.52
     Daß
    0.51
    Activations Density 4.378%

    No Known Activations