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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. 8735
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    INDEX
    Explanations

    quantitative descriptors related to quantity and size

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot

    quantifying amounts and magnitude

    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
    Negative Logits
     Reverso
    -0.48
    ſelves
    -0.47
    httphttps
    -0.43
    wiſe
    -0.43
     Reſ
    -0.43
     defaultstate
    -0.43
    jgl
    -0.43
    eqref
    -0.43
     Inſ
    -0.43
    BufferException
    -0.42
    POSITIVE LOGITS
    なんと
    0.75
     whopping
    0.64
    何と
    0.55
    わずか
    0.52
     aż
    0.48
    仅仅
    0.46
     mere
    0.44
     paltry
    0.44
     immerhin
    0.42
    整整
    0.41
    Activations Density 0.041%

    No Known Activations