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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. 54244
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    INDEX
    Explanations

    references to dining-related items and etiquette

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

    linens, tableware, stationery

    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
     AssemblyCulture
    -0.54
    <?
    -0.40
     Fas
    -0.39
     يتيمه
    -0.38
    equ
    -0.37
    SourceChecksum
    -0.37
    medriver
    -0.37
     FAIR
    -0.36
     expres
    -0.36
    DELAY
    -0.36
    POSITIVE LOGITS
     linens
    0.64
     toallas
    0.62
    AddTagHelper
    0.57
     Linen
    0.57
     linen
    0.53
     towels
    0.50
     tableware
    0.50
     napkins
    0.49
     tayo
    0.48
    aarrggbb
    0.48
    Activations Density 0.049%

    No Known Activations