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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. 9-RES-JB
    6. 7670
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    Explanations

    descriptions of various incidents or happenings that occurred in different locations

    oai_token-act-pair · gpt-3.5-turbo

    events related to accidents and incidents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     caveats
    -0.88
     conscience
    -0.78
     cures
    -0.77
    ocyte
    -0.73
     caveat
    -0.72
     indispensable
    -0.71
    emia
    -0.70
     boycot
    -0.69
    TPP
    -0.69
     traitor
    -0.67
    POSITIVE LOGITS
     southwest
    0.94
     northwest
    0.90
     midday
    0.88
     Antioch
    0.88
     east
    0.86
     Highway
    0.85
     southeast
    0.85
     lanes
    0.82
     intersection
    0.82
     northeast
    0.82
    Activations Density 0.254%

    No Known Activations