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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 24-GEMMASCOPE-RES-16K
    11. 654
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    Explanations

    references to footwear and feet

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

    shoes and feet

    np_acts-logits-general · gemini-2.0-flash

    shoes and soles

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 24-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_24/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.24.hook_resid_post
    Hook Layer
    24
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sky
    -0.36
     nest
    -0.36
    hängen
    -0.35
     Garn
    -0.35
     Reden
    -0.34
    Header
    -0.34
    tison
    -0.34
     lof
    -0.33
     Quant
    -0.33
     Stack
    -0.33
    POSITIVE LOGITS
     footwear
    1.00
     shoes
    0.92
     Footwear
    0.86
     Schuhe
    0.86
     barefoot
    0.86
     Shoes
    0.85
     foot
    0.83
     shoe
    0.83
     soles
    0.81
     ankle
    0.81
    Activations Density 0.678%

    No Known Activations