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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. 2454
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    Explanations

    the word "per" and variations of it in various contexts

    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
     persuade
    -0.37
     persuaded
    -0.35
     illusion
    -0.35
     persuasion
    -0.35
    ubahan
    -0.34
     aika
    -0.34
     PEAR
    -0.33
     prestigio
    -0.33
    ueba
    -0.33
     Pearce
    -0.33
    POSITIVE LOGITS
    per
    2.64
     per
    2.59
     Per
    2.28
    Per
    2.23
    PER
    1.65
     PER
    1.62
    PerPage
    1.16
    perk
    1.05
    perg
    0.97
    PerSecond
    0.95
    Activations Density 0.221%

    No Known Activations