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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. 11682
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    INDEX
    Explanations

    mentions of the term "Per" or variations of it in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    󠁴
    -0.48
    irvana
    -0.43
    embatan
    -0.42
     Klä
    -0.42
     mislead
    -0.40
    owicz
    -0.39
    Besos
    -0.39
    lappe
    -0.38
     Zimmermann
    -0.37
     Seitz
    -0.36
    POSITIVE LOGITS
    per
    2.56
    Per
    1.99
     Per
    1.91
    PER
    1.74
     PER
    1.33
     per
    0.98
    pering
    0.95
    perk
    0.92
    perg
    0.91
    perd
    0.80
    Activations Density 0.060%

    No Known Activations