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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 12472
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    Explanations

    quantitative measurements related to performance statistics and metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ⤹
    -0.63
    يميديا
    -0.63
    Personendaten
    -0.62
    LookAnd
    -0.57
     يتيمه
    -0.56
     nonUne
    -0.53
    istoitu
    -0.50
     AssemblyCulture
    -0.48
    Compat
    -0.47
    ########.
    -0.47
    POSITIVE LOGITS
     per
    3.16
    per
    1.88
     Per
    1.73
    Per
    1.71
     PER
    1.50
    PER
    1.17
    ต่อ
    1.04
    每
    1.02
    PerPage
    0.93
     لكل
    0.85
    Activations Density 0.928%

    No Known Activations