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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 66008
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    Explanations

    details about clothing and apparel features

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

    pants and trousers

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
    simpleType
    -0.54
     Shirt
    -0.40
     hals
    -0.39
    Autowired
    -0.38
    styleable
    -0.38
    ネック
    -0.38
    衬衫
    -0.37
     caneca
    -0.37
    Shirt
    -0.37
    /*
    -0.36
    POSITIVE LOGITS
     knee
    0.60
     pinggang
    0.60
     knees
    0.60
     waistband
    0.59
     celana
    0.59
     legs
    0.58
     ankles
    0.55
     kneel
    0.55
    膝
    0.54
    Leg
    0.54
    Activations Density 0.011%

    No Known Activations