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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. 1011
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    Explanations

    references to rodents and their behavior, particularly in relation to traps and disease transmission

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

    specific rodent species

    np_acts-logits-general · gemini-2.0-flash

    *Rattus norvegicus*

    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
    ğinde
    -0.48
    Referencoj
    -0.46
    IBarButtonItem
    -0.44
     végét
    -0.43
    tagHelperRunner
    -0.41
     Pardavimas
    -0.40
    kswagen
    -0.39
    alige
    -0.39
    bebasan
    -0.39
    czyki
    -0.39
    POSITIVE LOGITS
     cleanliness
    0.57
     clean
    0.56
     sanitation
    0.56
     surla
    0.56
    SequentialGroup
    0.55
     Sanitation
    0.53
     filth
    0.51
    Clean
    0.51
     Clean
    0.50
    clean
    0.50
    Activations Density 0.205%

    No Known Activations