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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 16k
    9. 9-GEMMASCOPE-RES-16K
    11. 4985
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    Explanations

    specific names of players and teams in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    followed by punctuation or URLs

    np_acts-logits-general · gemini-2.0-flash

    proper names

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 9-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_16k/average_l0_88
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.9.hook_resid_post
    Hook Layer
    9
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     🥰
    -0.65
     🤩
    -0.60
    Personensuche
    -0.59
    WithIOException
    -0.59
     🥳
    -0.59
     TikTok
    -0.58
    dflare
    -0.57
    https
    -0.56
    nameof
    -0.55
    . 
    -0.55
    POSITIVE LOGITS
    MemoryWarning
    0.88
     xrange
    0.76
     Obama
    0.68
     AssemblyTitle
    0.64
     = 
    0.61
     كومونز
    0.57
    <?
    0.57
    ManagedBean
    0.57
    OGND
    0.56
     http
    0.56
    Activations Density 1.392%

    No Known Activations