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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. 8-RES-JB
    6. 7388
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    INDEX
    Explanations

    mentions of different countries

    oai_token-act-pair · gpt-3.5-turbo

    references to countries and their conditions or characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Kid
    -0.67
    aughs
    -0.66
    ses
    -0.60
     lobb
    -0.60
    NetMessage
    -0.59
     Parties
    -0.59
     nails
    -0.59
     instruments
    -0.58
     scenarios
    -0.58
    ittens
    -0.58
    POSITIVE LOGITS
    ãĥĩ
    0.92
     Called
    0.91
     whose
    0.87
     resembling
    0.80
     called
    0.79
     named
    0.79
    typically
    0.76
     LIKE
    0.76
     Named
    0.76
    usually
    0.76
    Activations Density 0.367%

    No Known Activations