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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. 0-RES-JB
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    Explanations

    colleges or universities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of colleges and universities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ainer
    -0.77
    imi
    -0.77
    oeuv
    -0.76
    mir
    -0.71
    imir
    -0.68
    raw
    -0.62
    term
    -0.62
    tor
    -0.61
    erm
    -0.61
    ãĥĩ
    -0.60
    POSITIVE LOGITS
     colleges
    3.64
     Colleges
    2.86
     universities
    1.98
     campuses
    1.97
    College
    1.89
     schools
    1.83
     college
    1.78
    college
    1.75
     acad
    1.70
     College
    1.63
    Activations Density 0.016%

    No Known Activations