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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. 4985
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    oai_token-act-pair · gpt-3.5-turbo

    topics related to government, education, and societal issues

    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
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    Negative Logits
    IELD
    -0.76
    rine
    -0.70
    ITNESS
    -0.69
     chains
    -0.65
     equivalents
    -0.65
     subsequ
    -0.65
    haps
    -0.63
    ocket
    -0.63
     later
    -0.63
    reys
    -0.61
    POSITIVE LOGITS
     POLIT
    0.95
     Cosponsors
    0.79
    crime
    0.78
     Unc
    0.77
     APPLIC
    0.72
    Topics
    0.72
     Miscellaneous
    0.69
    external
    0.68
    indust
    0.67
    business
    0.67
    Activations Density 0.036%

    No Known Activations