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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 10042
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    key biological terms related to injuries and medical conditions

    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
    難しい
    -0.36
     хуже
    -0.34
    못
    -0.34
    失礼
    -0.33
    cador
    -0.33
    拙
    -0.33
    ony
    -0.33
     Poor
    -0.32
     malas
    -0.32
     Difficult
    -0.32
    POSITIVE LOGITS
     intact
    1.88
     undamaged
    1.83
     healthy
    1.77
     unharmed
    1.59
    healthy
    1.50
    Healthy
    1.38
     untouched
    1.33
     unsc
    1.33
     سالم
    1.32
     clean
    1.31
    Activations Density 1.167%

    No Known Activations