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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-2B
    7. MLP Out - 16k
    9. 19-GEMMASCOPE-MLP-16K
    11. 12320
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    Explanations

    references to waste management and disposal procedures

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-2B @ 19-gemmascope-mlp-16k
    Configuration
    google/gemma-scope-2b-pt-mlp/layer_19/width_16k/average_l0_109
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.19.hook_mlp_out
    Hook Layer
    19
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    WithMany
    -0.79
     CURIAM
    -0.75
     FetchType
    -0.63
     незавершена
    -0.59
     îna
    -0.57
     concorso
    -0.55
     OFDb
    -0.53
     Roskov
    -0.52
     surla
    -0.52
     Josephus
    -0.51
    POSITIVE LOGITS
     land
    0.72
     landfill
    0.60
     LAND
    0.57
     Land
    0.57
    Parcelize
    0.55
     Landfill
    0.53
    land
    0.52
    dija
    0.50
    ocellular
    0.50
    })));
    0.49
    Activations Density 0.313%

    No Known Activations