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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 22-GEMMASCOPE-RES-16K
    11. 4593
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    references to logos and branding in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 22-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.22.hook_resid_post
    Hook Layer
    22
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     doInBackground
    -0.63
     propOrder
    -0.59
    parsedMessage
    -0.50
     ſind
    -0.49
     sessionFactory
    -0.48
     autorytatywna
    -0.48
     jTextField
    -0.48
    PreAuthorize
    -0.47
    verifyException
    -0.46
     relâche
    -0.46
    POSITIVE LOGITS
     logo
    0.84
    logo
    0.74
     Logo
    0.73
     emblem
    0.71
     logos
    0.70
    Logo
    0.69
     logotipo
    0.65
    LOGO
    0.63
     Emblem
    0.62
     emblems
    0.60
    Activations Density 0.312%

    No Known Activations