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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. 13488
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    Explanations

    names of sports players or athletes alongside their associated positions or roles

    oai_token-act-pair · gpt-3.5-turbo

    names of athletes or players in sports contexts

    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
     Feminist
    -0.59
    Environment
    -0.59
    Reviewer
    -0.59
     Borderlands
    -0.59
    entious
    -0.58
     Unreal
    -0.58
     Oversight
    -0.57
    SourceFile
    -0.57
     Geek
    -0.56
     PBS
    -0.55
    POSITIVE LOGITS
     respectively
    1.25
     Jr
    1.09
     combined
    0.86
     apiece
    0.85
    steen
    0.73
     whom
    0.72
    Jr
    0.71
    olson
    0.71
    omez
    0.70
    acca
    0.69
    Activations Density 0.194%

    No Known Activations