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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 15808
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    discussions about the cost and quality of clothing and materials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_23/width_16k/average_l0_75
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    insee
    -0.61
    SequentialGroup
    -0.57
    expandindo
    -0.56
    UrlResolution
    -0.54
    Low
    -0.52
     Wray
    -0.51
    gebob
    -0.50
     lieto
    -0.49
     CreateTagHelper
    -0.49
     traités
    -0.48
    POSITIVE LOGITS
     expensive
    2.35
    expensive
    1.99
     costly
    1.89
     Expensive
    1.89
     pricey
    1.85
    Expensive
    1.72
     expense
    1.42
     teuer
    1.39
     cost
    1.33
     overpriced
    1.32
    Activations Density 0.191%

    No Known Activations