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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 38-GEMMASCOPE-RES-16K
    11. 13882
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    references to medical conditions and their effects on individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 38-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.38.hook_resid_post
    Hook Layer
    38
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     weariness
    -0.47
    RuleContext
    -0.46
     madness
    -0.45
     toughness
    -0.45
     blindness
    -0.45
    ">//
    -0.44
     محفوظة
    -0.44
     keper
    -0.42
    ollectionView
    -0.42
     deafness
    -0.41
    POSITIVE LOGITS
     stressed
    0.76
     dehydrated
    0.68
     obese
    0.66
     chronically
    0.64
     unwell
    0.63
     sick
    0.62
     depressed
    0.62
     incapacitated
    0.61
     leth
    0.60
     unfit
    0.59
    Activations Density 0.570%

    No Known Activations