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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 2-GEMMASCOPE-RES-16K
    11. 8352
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    Explanations

    references to "soft" materials or items in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 2-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.2.hook_resid_post
    Hook Layer
    2
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     clock
    -0.43
     Schaden
    -0.43
     graduated
    -0.42
     Regime
    -0.40
    Clock
    -0.40
    bilang
    -0.40
     régimen
    -0.40
     économ
    -0.40
    numpy
    -0.40
     экономических
    -0.39
    POSITIVE LOGITS
     soft
    1.16
     Soft
    1.09
     SOFT
    1.00
    soft
    0.99
    Soft
    0.98
     softness
    0.84
     softer
    0.83
    SOFT
    0.82
    sof
    0.73
    软
    0.72
    Activations Density 0.092%

    No Known Activations