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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. 21964
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    Explanations

    details related to air quality and moisture content

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

    air and atmosphere

    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
     betweenstory
    -0.59
     témoig
    -0.57
     queſta
    -0.56
    ittarius
    -0.55
     >=",
    -0.54
    ſſung
    -0.52
    Билгалдахарш
    -0.52
     estekak
    -0.52
    诰
    -0.52
     increí
    -0.51
    POSITIVE LOGITS
     air
    1.83
    air
    1.45
    空气
    1.38
     Air
    1.30
    Air
    1.30
     atmosphere
    1.30
    空氣
    1.27
    空気
    1.23
     udara
    1.21
     AIR
    1.17
    Activations Density 0.083%

    No Known Activations