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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. 22658
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    INDEX
    Explanations

    the lead author or co-author credits in academic and research papers

    oai_token-act-pair · gpt-3.5-turbo

    mentions of authorship and research contributors

    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
    FW
    -0.76
    fw
    -0.70
     vag
    -0.67
    wagen
    -0.66
     thri
    -0.65
     fireplace
    -0.65
    phia
    -0.64
     oven
    -0.63
     fung
    -0.63
     manag
    -0.62
    POSITIVE LOGITS
    essors
    0.83
     Mehran
    0.76
    icularly
    0.73
    ificantly
    0.73
    itatively
    0.73
     Xiang
    0.72
    itives
    0.72
    ournals
    0.72
     Cosponsors
    0.72
    ilyn
    0.72
    Activations Density 0.077%

    No Known Activations