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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 1948
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    Explanations

    references to comfort and the mechanisms that contribute to it

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RegressionTest
    -0.54
     pinulongan
    -0.48
     seyn
    -0.48
     GoogleFonts
    -0.48
    jspb
    -0.46
     étu
    -0.45
    
    -0.45
    yearly
    -0.45
     sleeps
    -0.44
     <<<<<<<<<<<<<<
    -0.44
    POSITIVE LOGITS
     confidence
    0.87
     Comfort
    0.79
     comfort
    0.72
     Confidence
    0.71
    Comfort
    0.69
     conf
    0.68
    confidence
    0.67
    comfort
    0.66
     syndrome
    0.65
     confidently
    0.65
    Activations Density 0.136%

    No Known Activations