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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 35-GEMMASCOPE-RES-16K
    11. 6965
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    references to statistical methods and estimators

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 35-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.35.hook_resid_post
    Hook Layer
    35
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ]=>
    -0.55
     voluntarios
    -0.43
     Volunteers
    -0.41
     volunteers
    -0.40
     mecánico
    -0.39
     numérique
    -0.39
    Volunteers
    -0.39
    élimin
    -0.38
     ujednoznacz
    -0.37
     initComponents
    -0.36
    POSITIVE LOGITS
     reward
    0.75
     Reward
    0.69
     agent
    0.67
     rewards
    0.65
     policy
    0.65
    Reward
    0.65
     agents
    0.61
     Rewards
    0.61
     Policy
    0.60
     Agent
    0.60
    Activations Density 0.435%

    No Known Activations