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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. 116847
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    Explanations

    references to the concept of "tam" and "tom" in various contexts, possibly relating to medical or scientific topics

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

    levetiracetam or aptamers

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Públicas
    -0.49
    rijke
    -0.49
     ainfi
    -0.48
     Teléfono
    -0.48
     Weiß
    -0.48
     ProgressDialog
    -0.48
    anci
    -0.48
     nakalista
    -0.48
    ientôt
    -0.47
     Todes
    -0.47
    POSITIVE LOGITS
    tem
    1.51
    tam
    1.43
    tom
    1.28
    dem
    0.93
    tems
    0.90
    tham
    0.83
    nem
    0.81
    tama
    0.80
    lem
    0.80
    hem
    0.78
    Activations Density 0.026%

    No Known Activations