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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. 3478
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    Explanations

    mentions of shoes and related footwear terminology

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

    shoe or shoes

    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
    richtet
    -0.38
    tenti
    -0.38
    fted
    -0.38
    pk
    -0.35
    IALS
    -0.34
    WriteTagHelper
    -0.33
    stan
    -0.33
    т
    -0.32
    IsMutable
    -0.32
    rosi
    -0.32
    POSITIVE LOGITS
    Shoes
    0.84
    Shoe
    0.84
     Shoes
    0.80
     Shoe
    0.78
    shoes
    0.73
    shoe
    0.70
     shoes
    0.70
     SHOES
    0.69
     Shoemaker
    0.69
    👟
    0.66
    Activations Density 0.003%

    No Known Activations