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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 102307
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    Explanations

    references to different types of stone processing techniques

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    stone and quarry materials

    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-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    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
    Negative Logits
    DataBind
    -0.42
    gonic
    -0.39
     FIG
    -0.38
     saiba
    -0.37
     disambiguazione
    -0.37
     defaultstate
    -0.37
    sturm
    -0.37
    %;">
    -0.36
    Toll
    -0.36
    setToolTipText
    -0.36
    POSITIVE LOGITS
     marble
    0.63
     granite
    0.63
    Granite
    0.57
     stone
    0.57
     Granite
    0.56
    CloseOperation
    0.56
     sandstone
    0.55
    Marble
    0.54
    marble
    0.54
     Marble
    0.52
    Activations Density 0.039%

    No Known Activations