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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. 9-RES-JB
    11. 3732
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    Explanations

    proper nouns, specifically those related to governmental figures and proceedings

    oai_token-act-pair · gpt-3.5-turbo

    numerals and percentages related to statistics or data

    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
     engagements
    -0.69
     Lit
    -0.67
     engagement
    -0.62
     Gn
    -0.61
     ideal
    -0.60
     wiser
    -0.58
     Apocalypse
    -0.58
     inactive
    -0.58
     aging
    -0.58
     couch
    -0.58
    POSITIVE LOGITS
    ³³³³
    1.16
    ³³³³³³³³
    1.16
    ³³³
    1.12
    ³³³³³³³³³³³³³³³³
    1.06
    Scroll
    0.95
    Labour
    0.95
    CVE
    0.95
    ³³
    0.89
    Prosecutors
    0.88
    However
    0.88
    Activations Density 0.469%

    No Known Activations