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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. 4-RES-JB
    11. 12350
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    Explanations

    sports teams or locations

    oai_token-act-pair · gpt-3.5-turbo

    names of cities and teams associated with sports

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

    No Comments

    Negative Logits
    enegger
    -1.00
    schild
    -0.91
    redd
    -0.79
     Gutenberg
    -0.77
    utm
    -0.73
    wcsstore
    -0.72
    hig
    -0.72
    tn
    -0.70
    netflix
    -0.69
    eport
    -0.67
    POSITIVE LOGITS
     teammate
    1.27
     Eagles
    1.20
     Chiefs
    1.12
     Jets
    1.09
     Giants
    1.08
     teammates
    1.06
     Falcons
    1.04
     rookie
    1.03
     Wolves
    1.01
     Tigers
    1.01
    Activations Density 0.114%

    No Known Activations