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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. 4709
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    Explanations

    terms related to food packaging and transportation

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

    Dry particulate matter

    np_acts-logits-general · gemini-2.0-flash

    bulk powder and blends

    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
     surla
    -0.72
    AndEndTag
    -0.71
     ProtoMessage
    -0.68
     HasFactory
    -0.67
    -------------</
    -0.66
     GenerationType
    -0.65
    ########.
    -0.64
     TestBed
    -0.64
     Geſch
    -0.64
    новниш
    -0.62
    POSITIVE LOGITS
     powder
    0.38
     Powder
    0.33
    Powder
    0.31
     cereales
    0.29
     grain
    0.28
     conservar
    0.26
     Pow
    0.26
     hop
    0.26
     granos
    0.25
     efforts
    0.24
    Activations Density 0.232%

    No Known Activations