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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. 11-RES-JB
    11. 11852
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    Explanations

    names of individuals receiving awards or recognition

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals being recognized or awarded in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ecd
    -0.70
    rooms
    -0.69
    irez
    -0.67
    pees
    -0.66
    artments
    -0.65
    yip
    -0.64
    ranging
    -0.63
    zers
    -0.62
    natureconservancy
    -0.62
     spores
    -0.61
    POSITIVE LOGITS
     honorary
    0.95
     captain
    0.88
     winner
    0.82
     interim
    0.81
     by
    0.79
     finalists
    0.79
     chairman
    0.77
     ambassador
    0.74
     MVP
    0.73
     vice
    0.72
    Activations Density 0.070%

    No Known Activations