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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. 7-RES-JB
    11. 21318
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    Explanations

    time-related phrases or actions, such as specific hours or moments within a timeframe

    oai_token-act-pair · gpt-3.5-turbo

    quantifiable metrics or numerical data in a context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ividual
    -0.83
    ugh
    -0.82
     Cosponsors
    -0.79
    GET
    -0.70
    norm
    -0.68
    GoldMagikarp
    -0.68
    pmwiki
    -0.68
    '/
    -0.67
    rome
    -0.67
    enhagen
    -0.67
    POSITIVE LOGITS
     intact
    1.00
     attached
    0.90
     strapped
    0.90
     looming
    0.89
     tow
    0.83
     thrown
    0.81
     draped
    0.81
     dangling
    0.80
     caveats
    0.79
     upside
    0.79
    Activations Density 0.777%

    No Known Activations