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    3. Google DeepMind · Exploring Gemma 2 with Gemma Scope
    5. Gemma-2-9B
    7. Residual Stream - 16k
    9. 33-GEMMASCOPE-RES-16K
    11. 2988
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    Explanations

    references to the word "Ter" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GEMMA-2-9B @ 33-gemmascope-res-16k
    Configuration
    google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
    Hook Layer
    33
    Architecture
    jumprelu
    Context Size
    1,024
    Dataset
    monology/pile-uncopyrighted
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Портали
    -0.46
    PyExc
    -0.45
     createSlice
    -0.44
    ArrowToggle
    -0.43
     épis
    -0.39
     Wiktionnaire
    -0.39
     ExecuteAsync
    -0.39
     Romains
    -0.39
     Réponses
    -0.38
     portée
    -0.37
    POSITIVE LOGITS
     Ter
    0.74
    Ter
    0.68
     TERR
    0.64
     ter
    0.63
     TER
    0.60
     Terr
    0.59
     Teri
    0.57
     Tera
    0.53
     Тер
    0.52
    testify
    0.52
    Activations Density 0.152%

    No Known Activations