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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 13789
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    Explanations

    references to body parts, particularly shoulders

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Wicidata
    -0.47
    estinal
    -0.46
     TestBed
    -0.42
    addPreferredGap
    -0.42
    inghouse
    -0.42
    matchCondition
    -0.41
     testamento
    -0.40
    richlet
    -0.40
    履き
    -0.40
    履
    -0.40
    POSITIVE LOGITS
     shoulder
    2.31
     shoulders
    2.13
     Shoulder
    2.00
    shoulder
    1.98
    Shoulder
    1.86
     Shoulders
    1.63
     Schulter
    1.62
    肩
    1.60
     hombro
    1.55
    肩膀
    1.41
    Activations Density 0.267%

    No Known Activations