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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. 54937
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    Explanations

    references to chairs, particularly those related to their design and functionality

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

    chair, chairs, wheelchair

    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
     Moreno
    -0.44
     supernatural
    -0.42
    odos
    -0.41
    自慢
    -0.41
     Duncan
    -0.41
    득
    -0.40
     Southwestern
    -0.40
     Maverick
    -0.40
     Maxwell
    -0.39
     Gemma
    -0.39
    POSITIVE LOGITS
     chair
    2.06
     chairs
    1.98
     Chair
    1.97
     CHAIR
    1.93
    chair
    1.92
     Chairs
    1.92
    Chair
    1.91
    chairs
    1.71
    Chairs
    1.68
    CHAIR
    1.58
    Activations Density 0.005%

    No Known Activations