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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 18-GEMMASCOPE-RES-16K
    11. 7004
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    Explanations

    proper nouns related to sports and sneaker culture

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

    followed by commas

    np_acts-logits-general · gemini-2.0-flash

    Nike and Adidas sportswear

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 18-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_18/width_16k/average_l0_74
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.18.hook_resid_post
    Hook Layer
    18
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     désol
    -0.52
     pancreatitis
    -0.49
     pancreas
    -0.48
    StoryboardSegue
    -0.47
     pancreatic
    -0.47
    debian
    -0.43
     vlees
    -0.43
    URERS
    -0.42
    renault
    -0.42
    duplex
    -0.41
    POSITIVE LOGITS
     Nike
    1.02
    Nike
    0.95
     adidas
    0.89
     nike
    0.87
    nike
    0.85
     sneaker
    0.83
     laces
    0.82
    adidas
    0.81
     Adidas
    0.74
     sportswear
    0.71
    Activations Density 0.045%

    No Known Activations