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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. 72571
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    Explanations

    references to animals, particularly bears, and their contextual mentions

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

    interjections and vocatives

    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
    Spoljašnje
    -0.52
     AssemblyCulture
    -0.50
    LLocation
    -0.45
     hırka
    -0.44
     encaje
    -0.43
     témoignage
    -0.42
     Japón
    -0.41
    Descripció
    -0.41
    impanan
    -0.41
    十分的
    -0.40
    POSITIVE LOGITS
     oh
    2.64
     Oh
    2.55
    Oh
    2.41
    oh
    2.09
     OH
    1.70
    哦
    1.70
    OH
    1.55
     ah
    1.44
     Ah
    1.41
    Ohh
    1.36
    Activations Density 0.054%

    No Known Activations