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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 4778
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    references to medical conditions and specific wards or areas within a healthcare context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    berdayakan
    -0.57
     åt
    -0.54
    AddTagHelper
    -0.51
    SharedDtor
    -0.51
     հղումներ
    -0.50
     tenisky
    -0.49
    enumi
    -0.48
     orejas
    -0.48
    guien
    -0.48
    Empereur
    -0.48
    POSITIVE LOGITS
     consisted
    0.63
    ative
    0.57
     stressed
    0.56
    atives
    0.53
    Ward
    0.52
     WARD
    0.52
    ward
    0.52
     scenario
    0.52
     stress
    0.52
     Ward
    0.52
    Activations Density 0.210%

    No Known Activations