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    2. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    3. Gemma-2-9B
    4. MLP Out - 131k
    5. 6-GEMMASCOPE-MLP-131K
    6. 109037
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    components related to care and attention to detail in personal and professional contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-9b-pt-mlp/layer_6/width_131k/average_l0_72
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    131,072
    Data Type
    float32
    Hook Name
    blocks.6.hook_mlp_out
    Hook Layer
    6
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AnchorTagHelper
    -0.48
    +#+
    -0.45
    而是
    -0.45
    ScopeManager
    -0.45
    UnknownFieldSet
    -0.43
    AddHtmlAttribute
    -0.42
    PYX
    -0.41
    solete
    -0.41
     Rel
    -0.40
    avid
    -0.39
    POSITIVE LOGITS
    forhold
    0.50
     Opiniones
    0.47
    MigrationBuilder
    0.44
    =$?
    0.42
    dafx
    0.42
     féminine
    0.42
     contingencies
    0.41
    配慮
    0.41
     cubierto
    0.41
    vedad
    0.40
    Activations Density 0.098%

    No Known Activations