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    1. Home
    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B-IT
    4. Residual Stream - 131k
    5. 31-GEMMASCOPE-RES-131K
    6. 12043
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    INDEX
    Explanations

    items of clothing and related accessories

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

    clothes and household items

    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
     summarised
    -0.70
     initialise
    -0.68
     optimised
    -0.66
     optimisation
    -0.66
     specialises
    -0.65
     summarise
    -0.65
     localisation
    -0.65
     standardised
    -0.64
     customised
    -0.64
     Initialise
    -0.64
    POSITIVE LOGITS
     plastica
    0.46
    Walmart
    0.45
     Walmart
    0.45
     Sears
    0.45
     motel
    0.45
     plastic
    0.43
     plástico
    0.41
     freezer
    0.40
     Clor
    0.40
     vieille
    0.40
    Activations Density 0.093%

    No Known Activations