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    1. Home
    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 9-GEMMASCOPE-RES-131K
    11. 99549
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    Explanations

    terms related to clothing and types of wear

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

    personal attire and accessories

    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
    Not in Any Lists

    No Comments

    Negative Logits
     ==
    -0.56
    InSection
    -0.53
    ']==
    -0.52
    Ghost
    -0.51
     deal
    -0.50
    ==
    -0.50
     Ghost
    -0.50
     ghost
    -0.50
    Shut
    -0.49
    ghost
    -0.48
    POSITIVE LOGITS
     footwear
    1.62
     Footwear
    1.28
    ewear
    1.05
     calzado
    0.91
     attire
    0.76
     swimwear
    0.75
     obuv
    0.74
     eyewear
    0.73
     outerwear
    0.72
     AssemblyCulture
    0.68
    Activations Density 0.005%

    No Known Activations