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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 34-GEMMASCOPE-RES-16K
    11. 3938
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    phrases and terms related to loss and job-related issues

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 34-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    monology/pile-uncopyrighted
    Features
    16,384
    Data Type
    float32
    Hook Name
    blocks.34.hook_resid_post
    Hook Layer
    34
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    +#+
    -0.51
     surla
    -0.46
     ویکی‌پدی
    -0.43
    wapV
    -0.42
     Autorisations
    -0.41
     WebDriverWait
    -0.40
     ExecuteAsync
    -0.39
    eburger
    -0.38
     Vle
    -0.38
    orianCalendar
    -0.37
    POSITIVE LOGITS
     loss
    3.55
     Loss
    3.13
     lost
    3.13
     losses
    3.05
    Loss
    3.03
     losing
    2.89
     loses
    2.88
    loss
    2.88
     lose
    2.80
     LOSS
    2.73
    Activations Density 1.060%

    No Known Activations