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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 3-GEMMASCOPE-RES-16K
    11. 5938
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    Explanations

    various references to shoes and related footwear items

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 3-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.3.hook_resid_post
    Hook Layer
    3
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ########.
    -0.47
    mbggenerated
    -0.46
     tetrachloride
    -0.44
    IndentedString
    -0.43
    RRect
    -0.42
    valents
    -0.42
    sbericht
    -0.42
     banderas
    -0.42
    BufferException
    -0.41
     continúas
    -0.41
    POSITIVE LOGITS
     shoes
    3.83
     shoe
    3.61
     Shoes
    3.39
    Shoes
    3.17
     Shoe
    3.17
    shoes
    3.17
    shoe
    3.09
     SHOES
    3.03
    Shoe
    2.98
     footwear
    2.41
    Activations Density 0.048%

    No Known Activations