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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. 43961
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    Explanations

    references to specific floors in buildings

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

    building floor levels

    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
     EconPapers
    -0.56
    InitVars
    -0.53
    majánló
    -0.51
     sanitarias
    -0.51
     Préférences
    -0.51
     desierto
    -0.50
     Meksiku
    -0.50
     cuchar
    -0.49
     amarillas
    -0.48
     recomendaciones
    -0.48
    POSITIVE LOGITS
     upstairs
    0.89
     Floor
    0.88
    Floor
    0.83
     floor
    0.81
     FLOOR
    0.78
    Upstairs
    0.74
    floor
    0.72
     downstairs
    0.69
    FLOOR
    0.68
     étage
    0.63
    Activations Density 0.003%

    No Known Activations