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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 36-GEMMASCOPE-RES-16K
    11. 15780
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    phrases related to economic loss and gains, particularly in job and business contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 36-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_36/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.36.hook_resid_post
    Hook Layer
    36
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    +#+
    -0.47
     Autorisations
    -0.45
     ویکی‌پدی
    -0.43
     Vle
    -0.41
    riwal
    -0.40
    RuleContext
    -0.39
    wapV
    -0.39
     >=",
    -0.38
    :✨
    -0.36
    èvement
    -0.35
    POSITIVE LOGITS
     loss
    3.52
     Loss
    3.06
     lost
    3.00
     losses
    3.00
     losing
    2.98
    Loss
    2.92
     lose
    2.92
     loses
    2.91
    loss
    2.84
     LOSS
    2.72
    Activations Density 0.958%

    No Known Activations