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    2. Gemma-2-2B
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    Explanations

    the word "field" and words used for categorization like "town", "survive", and "String"

    oai_token-act-pair · gemini-2.0-flash
    New Auto-Interp
    Top Features by Cosine Similarity
    Configuration
    google/gemma-scope-2b-pt-transcoders/layer_0/width_16k/average_l0_76
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.0.ln2.hook_normalized
    Architecture
    jumprelu_transcoder
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    line
    -0.94
    way
    -0.93
    house
    -0.87
    light
    -0.85
    wood
    -0.84
    stone
    -0.84
    less
    -0.83
    side
    -0.81
    field
    -0.81
    water
    -0.78
    POSITIVE LOGITS
     supérieures
    0.96
     démocr
    0.93
     avoient
    0.93
     extérieures
    0.88
     auroit
    0.88
     étoit
    0.85
     supérieurs
    0.84
     étoient
    0.84
     feroit
    0.84
     laiss
    0.82
    Activations Density 2.270%

    No Known Activations