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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. 21278
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    Explanations

    names of sports teams

    oai_token-act-pair · gpt-3.5-turbo

    references to sports teams and notable individuals associated with them

    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
    rooms
    -0.74
    ificent
    -0.74
    ifiers
    -0.73
     Anthem
    -0.71
    ifier
    -0.70
     obsc
    -0.70
    eworthy
    -0.69
    essed
    -0.68
    cgi
    -0.67
    oon
    -0.66
    POSITIVE LOGITS
    ilon
    0.91
    LECT
    0.77
     Lauder
    0.76
    uate
    0.73
    prise
    0.73
    olon
    0.72
    obic
    0.72
    uating
    0.71
    resso
    0.71
    odox
    0.71
    Activations Density 0.197%

    No Known Activations