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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 15-GEMMASCOPE-RES-16K
    11. 4637
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    keywords and phrases related to travel and lodging

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 15-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_15/width_16k/average_l0_131
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.15.hook_resid_post
    Hook Layer
    15
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Aholisi
    -0.40
    javax
    -0.39
    urtstag
    -0.37
     Stücke
    -0.37
    InjectMocks
    -0.36
    Datuak
    -0.35
    celi
    -0.35
     décoration
    -0.35
    fiez
    -0.35
    MessageDigest
    -0.35
    POSITIVE LOGITS
    Kaynakça
    0.53
    AndEndTag
    0.52
    Expedia
    0.51
    참고
    0.48
     Referential
    0.48
     esterni
    0.47
     disambiguazione
    0.45
    Παραπομπές
    0.45
    RTSC
    0.45
    DateField
    0.44
    Activations Density 0.036%

    No Known Activations