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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 11-RES-JB
    11. 5561
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    INDEX
    Explanations

    -specific times and numerical values

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating measurements and levels of intensity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iflower
    -0.64
    imaru
    -0.61
    ules
    -0.58
    ERY
    -0.57
    ourge
    -0.55
     Murd
    -0.52
    atcher
    -0.52
     insepar
    -0.51
    ernel
    -0.51
    iland
    -0.51
    POSITIVE LOGITS
     intervals
    0.98
     expense
    0.98
     apiece
    0.95
    mast
    0.91
     behest
    0.91
     speeds
    0.87
     altitude
    0.83
    point
    0.83
     discretion
    0.78
     angles
    0.78
    Activations Density 0.159%

    No Known Activations