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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. 1-RES-JB
    6. 4745
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    Explanations

    names of specific individuals, potentially related to news or articles

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific individual named Upton

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Investigator
    -0.85
    eworthy
    -0.72
    gans
    -0.69
    taboola
    -0.67
    ŀ
    -0.66
     Investigators
    -0.66
    fm
    -0.65
    dk
    -0.65
    IJ
    -0.64
    ences
    -0.64
    POSITIVE LOGITS
     Upton
    1.49
     Sinclair
    0.89
     mosqu
    0.86
    minster
    0.83
    galitarian
    0.76
    stadt
    0.76
     loft
    0.73
     unpop
    0.72
     oun
    0.71
     mathemat
    0.71
    Activations Density 0.007%

    No Known Activations