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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. 967
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    INDEX
    Explanations

    occurrences of the word "quick"

    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
    GOTREF
    -0.56
     desmotivaciones
    -0.46
     expenses
    -0.44
    twimg
    -0.44
    BeginContext
    -0.43
     appreciates
    -0.41
     expenditure
    -0.40
    EndContext
    -0.40
     expense
    -0.40
     ReSharper
    -0.39
    POSITIVE LOGITS
     Quick
    0.75
    Quick
    0.73
    quick
    0.59
     Who
    0.54
    Who
    0.54
     quick
    0.52
    QUICK
    0.51
     dead
    0.50
    Personendaten
    0.48
     Which
    0.48
    Activations Density 0.077%

    No Known Activations