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    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. Residual Stream - 16k
    5. 35-GEMMASCOPE-RES-16K
    6. 7181
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    scientific terminology related to biochemical processes and molecular interactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/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.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     impactful
    -0.82
     showcased
    -0.81
     transitioning
    -0.76
     microbiome
    -0.74
     comorbidities
    -0.73
     transitioned
    -0.71
     incentiv
    -0.71
     sourced
    -0.71
     blurry
    -0.71
     showcasing
    -0.70
    POSITIVE LOGITS
    faßt
    0.93
     daß
    0.81
     muß
    0.80
     läßt
    0.75
     Schluß
    0.70
     изпол
    0.63
     Daß
    0.63
     Miß
    0.63
     mußte
    0.60
     mußten
    0.60
    Activations Density 4.708%

    No Known Activations