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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. 8989
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    Explanations

    references to patient cohorts and specific medical conditions

    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
     kasarigan
    -0.64
    évaluateur
    -0.63
    AsUp
    -0.56
    MessageOf
    -0.55
    Jeografia
    -0.55
    complexContent
    -0.52
    writeFieldEnd
    -0.52
    SharedDtor
    -0.51
    OCCURRED
    -0.50
    InjectAttribute
    -0.50
    POSITIVE LOGITS
     undergo
    2.19
     underwent
    2.09
     undergoes
    2.06
     undergoing
    2.03
     undergone
    1.88
     receiving
    1.19
     receive
    1.16
     menjalani
    1.15
     receives
    1.11
     subjected
    1.06
    Activations Density 0.896%

    No Known Activations