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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 3255
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    INDEX
    Explanations

    mentions of the word "Mongolia" or related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to the Mongolian culture, people, or location

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     cher
    -0.74
    rez
    -0.74
    Bet
    -0.73
    arget
    -0.71
    elle
    -0.68
    eries
    -0.67
    ere
    -0.67
    ulsion
    -0.67
     Sirius
    -0.66
     Rem
    -0.65
    POSITIVE LOGITS
     Mong
    3.44
     Mongol
    2.83
     Mongolia
    2.43
    mong
    1.85
    ONG
    1.60
    jong
    1.19
     Dmitry
    1.14
     Cambod
    1.09
    ongs
    1.06
    osaurus
    1.05
    Activations Density 0.038%

    No Known Activations