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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 16086
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    INDEX
    Explanations

    references to refrigeration and cooling processes

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

    refrigerated containers and units

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    endIndex
    -0.34
     InputDecoration
    -0.33
     Eisen
    -0.30
     ghost
    -0.29
    стья
    -0.29
    rul
    -0.29
    watermark
    -0.28
     dy
    -0.28
    フライパン
    -0.28
     meg
    -0.28
    POSITIVE LOGITS
     refrigerated
    1.16
     coldest
    1.12
     colder
    1.10
     refrigeration
    1.09
     cold
    1.09
    Cold
    1.06
    COLD
    1.06
    cold
    1.06
     cooling
    1.05
     temperature
    1.04
    Activations Density 0.012%

    No Known Activations