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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. 7428
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    Explanations

    references to data size and quantifiable damage

    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
     abstrait
    -0.55
     Plen
    -0.53
     plenary
    -0.52
     informée
    -0.51
    DockStyle
    -0.50
    eaways
    -0.49
     workflow
    -0.47
    Aiheesta
    -0.47
     Dens
    -0.47
     '\\;'
    -0.46
    POSITIVE LOGITS
     damage
    0.65
    damage
    0.63
     sizeof
    0.61
    Damage
    0.59
     Damage
    0.54
    sizeof
    0.54
     DAMAGE
    0.54
     crisp
    0.50
     massive
    0.47
     huge
    0.45
    Activations Density 0.069%

    No Known Activations