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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. 3223
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    INDEX
    Explanations

    instances of blood and cleanliness

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

    Dirt, dust, and grime

    np_acts-logits-general · gemini-2.0-flash

    dirt, dust, grime, stains

    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
     '\\;'
    -0.67
    AddTagHelper
    -0.52
     estekak
    -0.43
    évaluateur
    -0.41
     UITextField
    -0.40
     ब्रेकडाउन
    -0.39
    RegistryLite
    -0.38
    createStatement
    -0.38
     jsPsych
    -0.37
     objectAtIndex
    -0.36
    POSITIVE LOGITS
     dirty
    0.86
     dust
    0.86
     dirt
    0.84
     grime
    0.79
     fingerprints
    0.78
    dirty
    0.77
    dirt
    0.73
    dust
    0.71
     stains
    0.69
     contamination
    0.68
    Activations Density 0.289%

    No Known Activations