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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. Residual Stream - 16k
    9. 16-GEMMASCOPE-RES-16K
    11. 9729
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    INDEX
    Explanations

    phrases describing daily routines or activities

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

    Actions involving getting ready (dressing, washing)

    np_acts-logits-general · gemini-2.0-flash

    washing and dressing

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 16-gemmascope-res-16k
    Configuration
    google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
    Prompts (Dashboard)
    36,864 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.16.hook_resid_post
    Hook Layer
    16
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ])]
    -0.55
    })]
    -0.54
    "]),
    -0.52
     feature
    -0.49
    }}}$
    -0.49
    feature
    -0.48
    ]")]
    -0.48
    >");
    -0.47
    Features
    -0.46
    strconv
    -0.46
    POSITIVE LOGITS
     dressing
    1.00
     Dressing
    0.99
     dress
    0.89
     dressed
    0.87
    Dressing
    0.85
     dresses
    0.81
     DRESS
    0.81
    dressing
    0.81
     Dress
    0.77
    dressed
    0.76
    Activations Density 0.149%

    No Known Activations