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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 0-GEMMASCOPE-RES-16K
    11. 4190
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    information related to vehicle specifications or products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 0-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.hook_resid_post
    Hook Layer
    0
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ❷
    -0.38
     disambiguazione
    -0.36
     Polres
    -0.35
     شر
    -0.35
    cnico
    -0.35
     une
    -0.30
     excru
    -0.30
     Lawler
    -0.30
    antaranya
    -0.30
     useAppContext
    -0.30
    POSITIVE LOGITS
    ValueStyle
    0.83
     resourceCulture
    0.69
    fjspx
    0.69
    clearance
    0.65
    OGND
    0.60
    protoimpl
    0.58
    Hentet
    0.57
     للاسماء
    0.57
    PathVariable
    0.56
    clearing
    0.56
    Activations Density 1.558%

    No Known Activations