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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 1354
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    specific brand names and products, particularly related to motorcycles and related components

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_15/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ghum
    -0.48
    pidou
    -0.47
     Recu
    -0.47
     żyw
    -0.46
     cuotas
    -0.46
    
    -0.46
    fjspx
    -0.46
    隍
    -0.45
     lembran
    -0.45
     localObject
    -0.45
    POSITIVE LOGITS
     Parsons
    0.63
     Hartmann
    0.58
    ItemIndex
    0.56
     Andersen
    0.55
     Silva
    0.54
     Suiza
    0.53
     Werner
    0.53
     Anderson
    0.53
     uParam
    0.52
     Vila
    0.51
    Activations Density 1.323%

    No Known Activations