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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. MLP Out - 131k
    9. 6-GEMMASCOPE-MLP-131K
    11. 111308
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    concentration values related to specific biochemical entities

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     betweenstory
    -0.59
     Monfieur
    -0.59
     Theſe
    -0.59
    SourceChecksum
    -0.58
     Beſ
    -0.56
     Inſ
    -0.54
    뀜
    -0.53
    Hochspringen
    -0.53
    InputBorder
    -0.53
    BindingResult
    -0.52
    POSITIVE LOGITS
    AnchorTagHelper
    0.36
     honour
    0.31
     deportivo
    0.29
     changement
    0.29
     따라
    0.29
     '\\;'
    0.29
     vigencia
    0.29
    Works
    0.29
     ơn
    0.29
     honneur
    0.28
    Activations Density 0.011%

    No Known Activations