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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. 3457
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    Explanations

    references to multi-faceted or multi-layered concepts in various contexts

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

    containing "multi" or "mult" prefixes

    np_acts-logits-general · gemini-2.0-flash

    multi- compound words

    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
     dignidad
    -0.47
     pinggang
    -0.46
     Begründung
    -0.43
     Infór
    -0.42
    ]")]
    -0.40
     infierno
    -0.40
     reseña
    -0.40
    enderror
    -0.39
     masculina
    -0.39
     cuarzo
    -0.38
    POSITIVE LOGITS
     Multi
    1.16
     multi
    1.05
     MULTI
    1.02
     MULT
    1.02
    Multi
    1.02
    MULT
    0.90
    multi
    0.87
     Mult
    0.84
     Mul
    0.83
    MULTI
    0.82
    Activations Density 0.141%

    No Known Activations