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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 30-GEMMASCOPE-RES-16K
    11. 11439
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    INDEX
    Explanations

    negative descriptors relating to moral or physical filthiness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    dirt or disgust

    np_acts-logits-general · gemini-2.0-flash

    dirt, filth, and ugliness

    np_acts-logits-general · gemini-2.5-flash-lite
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 30-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_30/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.30.hook_resid_post
    Hook Layer
    30
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     pró
    -0.45
     Buat
    -0.44
     fooled
    -0.43
    andExpect
    -0.42
    NamedQueries
    -0.41
    mybatisplus
    -0.40
     erec
    -0.40
     Losing
    -0.40
    Caret
    -0.39
    Losing
    -0.39
    POSITIVE LOGITS
     dirty
    1.55
     filthy
    1.30
    dirty
    1.28
     disgusting
    1.27
     Dirty
    1.16
     filth
    1.15
    Dirty
    1.15
     ugly
    1.10
     unclean
    1.09
    肮
    1.02
    Activations Density 0.436%

    No Known Activations