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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. 11-RES-JB
    6. 16867
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    INDEX
    Explanations

    words related to sports events and statistics

    oai_token-act-pair · gpt-3.5-turbo

    names of people and teams in a sports context

    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
    soType
    -0.73
    ĺħ
    -0.70
    crop
    -0.67
    ciating
    -0.65
    icter
    -0.63
    izoph
    -0.63
     Defendants
    -0.63
    Laughs
    -0.63
    advertisement
    -0.63
    hare
    -0.61
    POSITIVE LOGITS
     trailed
    1.10
     regained
    1.09
     finished
    1.08
     overcame
    1.08
     scored
    1.06
     then
    1.03
     meanwhile
    1.02
     tallied
    1.01
     rallied
    1.00
     totaled
    1.00
    Activations Density 0.149%

    No Known Activations