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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. 7-RES-JB
    11. 7765
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to stock exchanges and sports teams

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    REL
    -0.69
    ample
    -0.65
    rely
    -0.64
    yip
    -0.64
    oidal
    -0.62
    URR
    -0.62
    idious
    -0.60
    etsy
    -0.60
    arily
    -0.59
     Skinner
    -0.58
    POSITIVE LOGITS
     Authority
    0.85
     Fighters
    0.84
     Exchange
    0.84
     Fund
    0.82
     Consortium
    0.81
     Organisation
    0.79
     Organization
    0.78
     Centre
    0.78
     Alliance
    0.77
     Network
    0.75
    Activations Density 0.207%

    No Known Activations