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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 28-GEMMASCOPE-RES-16K
    11. 2983
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    Explanations

    references to furniture items, particularly emphasizing nightstands and their features

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

    tables or furniture

    np_acts-logits-general · gemini-2.0-flash

    furniture and fixtures

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 28-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.28.hook_resid_post
    Hook Layer
    28
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sogget
    -0.41
     tatuagens
    -0.41
     gebou
    -0.39
     cauza
    -0.39
    stalt
    -0.38
     zieken
    -0.38
     uitz
    -0.37
     helicopter
    -0.37
    IBOutlet
    -0.36
    ciamento
    -0.36
    POSITIVE LOGITS
     table
    0.73
     stool
    0.65
     stools
    0.61
     Table
    0.59
     furniture
    0.58
     tabletop
    0.58
    ፩
    0.58
     Roskov
    0.58
     للاسماء
    0.57
     Antique
    0.57
    Activations Density 0.142%

    No Known Activations