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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 41-GEMMASCOPE-RES-16K
    11. 9458
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    phrases related to medical conditions, specifically cardiovascular-related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 41-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_41/width_16k/average_l0_113
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.41.hook_resid_post
    Hook Layer
    41
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     IU
    -0.70
     CU
    -0.67
     TU
    -0.65
     WU
    -0.63
    ZU
    -0.62
    IU
    -0.61
     VU
    -0.61
     ZU
    -0.60
    KU
    -0.60
     KU
    -0.59
    POSITIVE LOGITS
    understood
    0.57
     understood
    0.57
     Understanding
    0.56
    Understanding
    0.55
     unusual
    0.54
    understanding
    0.54
     updates
    0.54
     useful
    0.53
     understand
    0.52
     understanding
    0.52
    Activations Density 0.524%

    No Known Activations