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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 31-GEMMASCOPE-RES-16K
    11. 14929
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    Explanations

    incidents related to medical emergencies or injuries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    detailed descriptions of sports injuries and medical incidents during athletic events.

    oai_token-act-pair · claude-3-5-haiku-20241022Triggered by @neilrathi

    descriptions of injuries and medical emergencies in sports contexts.

    oai_token-act-pair · claude-4-5-haikuTriggered by @emiglarou
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 31-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_31/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.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Church
    -0.36
     global
    -0.35
    anInt
    -0.33
    ph
    -0.33
     progress
    -0.33
    global
    -0.32
     محفوظة
    -0.32
    progress
    -0.32
    fav
    -0.32
    Ph
    -0.31
    POSITIVE LOGITS
     locker
    1.13
     lockers
    0.92
     dressing
    0.91
     clubhouse
    0.90
     backstage
    0.90
     dugout
    0.84
    Dressing
    0.84
     Dressing
    0.82
    dressing
    0.80
    locker
    0.79
    Activations Density 0.182%

    No Known Activations