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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. 7100
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    Explanations

    references to bars or drinking establishments

    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
     CreateTagHelper
    -0.55
    fjspx
    -0.53
    httphttps
    -0.52
    ValueStyle
    -0.51
    ScopeManager
    -0.49
     autorytatywna
    -0.48
    SourceChecksum
    -0.47
    PropertyChanging
    -0.46
    findpost
    -0.45
    出版年
    -0.44
    POSITIVE LOGITS
     bars
    1.13
    bars
    0.91
     Bars
    0.82
    Bars
    0.81
     consciousness
    0.64
     lifestyle
    0.61
     cocktail
    0.61
     spa
    0.61
    Lifestyle
    0.59
     cocktails
    0.58
    Activations Density 0.043%

    No Known Activations