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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. 16071
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    Explanations

    medical terms related to spinal health and injuries

    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
    RuleContext
    -0.35
     anecd
    -0.32
     calcetines
    -0.32
    webElementXpaths
    -0.32
     ProtoMessage
    -0.31
     OMITBAD
    -0.31
     Sully
    -0.30
    JsonKey
    -0.30
    uxxxx
    -0.30
     tep
    -0.29
    POSITIVE LOGITS
     spine
    1.10
     spinal
    1.04
     Spine
    1.02
     lumbar
    1.02
     vertebrae
    0.98
    Spine
    0.96
     vertebral
    0.95
     vertebra
    0.92
    verte
    0.91
     Spinal
    0.90
    Activations Density 0.573%

    No Known Activations