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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 40-GEMMASCOPE-RES-16K
    11. 1675
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    phrases related to sports, particularly football and quarterbacks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 40-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.40.hook_resid_post
    Hook Layer
    40
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     utafitiHapana
    -0.65
    ftagPool
    -0.60
     $_(
    -0.59
    aulted
    -0.59
    esModule
    -0.58
    UnusedPrivate
    -0.58
    Viited
    -0.57
    plash
    -0.57
     برابوك
    -0.57
    framing
    -0.57
    POSITIVE LOGITS
     Wikimedijinoj
    0.41
    wnież
    0.40
     nación
    0.36
    ministrazione
    0.36
     cuestiones
    0.35
    dopodob
    0.35
     proverbial
    0.35
     puissent
    0.35
     prosím
    0.34
     cref
    0.34
    Activations Density 2.047%

    No Known Activations