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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. 8579
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    Explanations

    distinctions related to soft materials or textures

    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
    rungsseite
    -0.47
    flashdata
    -0.39
    CurrentValue
    -0.38
    Réponse
    -0.37
    bindParam
    -0.37
     wireType
    -0.36
    hyrchwyd
    -0.35
     externi
    -0.35
    argue
    -0.35
     relevantes
    -0.34
    POSITIVE LOGITS
     soft
    1.13
    Soft
    1.02
    soft
    1.01
     Soft
    1.00
     softening
    0.96
     SOFT
    0.95
    sof
    0.93
     softer
    0.93
     soften
    0.91
     Sof
    0.90
    Activations Density 0.103%

    No Known Activations