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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 7-GEMMASCOPE-RES-16K
    11. 14529
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    Explanations

    instances of the word "thorough" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 7-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_7/width_16k/average_l0_92
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.7.hook_resid_post
    Hook Layer
    7
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    脚注の使い方
    -0.73
    delwed
    -0.66
     defaultstate
    -0.63
    AddHtmlAttribute
    -0.60
     Bioaccumulative
    -0.59
    AndEndTag
    -0.57
    amazonaws
    -0.54
     дописавши
    -0.52
    
    -0.51
    LookAnd
    -0.50
    POSITIVE LOGITS
     Taylor
    1.05
    Taylor
    1.00
     taylor
    0.87
     TAYLOR
    0.86
    taylor
    0.81
     thorough
    0.79
     Thorough
    0.78
     thoroughly
    0.74
    python
    0.59
    Thor
    0.56
    Activations Density 0.159%

    No Known Activations