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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. 14116
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    Explanations

    elements related to causes of death and injuries, particularly those resulting from violence or accidents

    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
     оригіналу
    -0.52
     détruit
    -0.49
    InputTagHelper
    -0.49
     destruir
    -0.47
     détruire
    -0.45
     détru
    -0.44
    Slightly
    -0.44
    zzleHttp
    -0.44
     Numerade
    -0.43
     Slightly
    -0.42
    POSITIVE LOGITS
     suff
    0.68
     drowning
    0.66
     suicide
    0.63
     drown
    0.59
     choking
    0.58
     cardiac
    0.57
     strang
    0.55
    溺
    0.53
     overdose
    0.53
     suicides
    0.52
    Activations Density 0.605%

    No Known Activations