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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 15338
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    Explanations

    instances of past tense verbs describing medical conditions or patient status

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AnchorStyles
    -0.77
    RuleContext
    -0.56
    SourceChecksum
    -0.54
    RetentionPolicy
    -0.52
    PerformLayout
    -0.48
    PreferredItem
    -0.48
     nahilalakip
    -0.46
     pinulongan
    -0.45
     contested
    -0.44
    OrNil
    -0.43
    POSITIVE LOGITS
     vaccinated
    0.60
     ineligible
    0.49
     hospitalized
    0.48
     eligible
    0.48
     obese
    0.46
     literate
    0.46
     illiterate
    0.46
     insured
    0.44
     medically
    0.44
     educated
    0.44
    Activations Density 0.610%

    No Known Activations