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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 14858
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    INDEX
    Explanations

    mentions of sports players, particularly focusing on their quality or importance

    oai_token-act-pair · gpt-3.5-turbo

    references to athletes and team 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 @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ories
    -0.71
    anus
    -0.69
    ombat
    -0.67
    cgi
    -0.66
    yss
    -0.66
     Newsp
    -0.64
    isson
    -0.63
     Publication
    -0.62
     Readers
    -0.62
     strang
    -0.62
    POSITIVE LOGITS
     talent
    0.83
     drafted
    0.82
     sacrificed
    0.80
     talents
    0.75
     whom
    0.75
     who
    0.72
     capable
    0.71
     possessed
    0.71
     coached
    0.69
     Scouting
    0.67
    Activations Density 0.166%

    No Known Activations