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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. 108955
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    Explanations

    references to coastal environments and associated ecological concepts

    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
     Coastal
    -1.59
     coastal
    -1.55
    Coastal
    -1.55
    coastal
    -1.46
     Küsten
    -1.02
     coster
    -0.85
     COAST
    -0.83
     seaside
    -0.62
     pantai
    -0.59
     coastline
    -0.58
    POSITIVE LOGITS
     logic
    0.42
    oncesto
    0.42
     stati
    0.42
     gib
    0.41
     Colle
    0.40
    Portail
    0.39
     faces
    0.39
     Contin
    0.39
     Logic
    0.39
     Ci
    0.38
    Activations Density 0.001%

    No Known Activations