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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B-IT
    7. Residual Stream - 131k
    9. 31-GEMMASCOPE-RES-131K
    11. 83879
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    Explanations

    references to the name "Bradford" and words associated with packaging or dressings

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

    Bradford, Frankfurt, Waterford, dressing

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B-IT @ 31-gemmascope-res-131k
    Configuration
    google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.31.hook_resid_post
    Hook Layer
    31
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    enumii
    -0.50
    indy
    -0.47
    ValueStyle
    -0.46
     Administrativna
    -0.46
    OGND
    -0.46
    intios
    -0.45
    oopy
    -0.44
    klen
    -0.43
     للمعارف
    -0.43
     getItemId
    -0.42
    POSITIVE LOGITS
    ########.
    0.44
     ويكيميديا
    0.43
    째
    0.43
     zrozum
    0.41
     Alhambra
    0.40
    Bradford
    0.40
    (":");
    0.40
     Westfield
    0.39
    StoryboardSegue
    0.39
     Bradford
    0.39
    Activations Density 0.014%

    No Known Activations