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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 5941
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    Explanations

    references to clothing and dressing styles

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

    the word "dress" or "dressed"

    np_acts-logits-general · gemini-2.0-flash

    dress and dressed forms

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mochilas
    -0.35
     Segura
    -0.35
    hörige
    -0.35
    ∬
    -0.35
     dismiss
    -0.34
     OnDestroy
    -0.34
     Sahib
    -0.33
     SwitchCompat
    -0.33
    bukaan
    -0.33
    -0.33
    POSITIVE LOGITS
    Dress
    0.80
     Dress
    0.77
    dress
    0.73
     dress
    0.68
     dressing
    0.65
    SequentialGroup
    0.65
     DRESS
    0.64
     Dressing
    0.63
    dressing
    0.63
    Dressing
    0.62
    Activations Density 0.102%

    No Known Activations