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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. 153
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    Explanations

    book titles and publication information

    oai_token-act-pair · gpt-3.5-turbo

    references to authors, publications, or literary works

    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
    lyak
    -0.84
    atical
    -0.70
    chwitz
    -0.69
     coordinate
    -0.68
    yz
    -0.65
     biod
    -0.63
    fighters
    -0.63
     Gong
    -0.63
    ongo
    -0.63
    unte
    -0.63
    POSITIVE LOGITS
     Literary
    1.05
    Magazine
    0.94
     Publishing
    0.94
     Publishers
    0.94
     Editorial
    0.90
    published
    0.88
     Magazine
    0.87
     Syndicate
    0.87
     Eag
    0.87
     Newsp
    0.85
    Activations Density 0.521%

    No Known Activations