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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 23-GEMMASCOPE-RES-16K
    11. 7279
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    terms related to environmental conditions and stress responses

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 23-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_23/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.23.hook_resid_post
    Hook Layer
    23
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     utafitiHapana
    -0.46
    jegy
    -0.44
     Normdatei
    -0.44
    ReusableCell
    -0.42
    cribing
    -0.42
    спонд
    -0.42
    richTextPanel
    -0.42
     NUKAT
    -0.41
     Desa
    -0.41
    しま
    -0.41
    POSITIVE LOGITS
     environment
    0.88
     environments
    0.83
     conditions
    0.68
     Environments
    0.68
    環境
    0.68
    environnement
    0.68
     warunki
    0.67
    环境
    0.66
     ENVIRONMENT
    0.66
     ambienti
    0.65
    Activations Density 0.689%

    No Known Activations