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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. 15207
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    Explanations

    words related to disqualification or ineligibility

    oai_token-act-pair · gpt-3.5-turbo

    terms related to disqualification and ineligibility

    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
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    Negative Logits
    yll
    -0.73
    ï¸ı
    -0.70
     Esp
    -0.65
    elf
    -0.64
    tons
    -0.62
    76561
    -0.62
     Lans
    -0.62
    TPP
    -0.61
     VID
    -0.60
    OTOS
    -0.60
    POSITIVE LOGITS
     disqual
    1.31
     disqualified
    1.14
    ifications
    0.95
    ifying
    0.90
    ifiers
    0.89
    ifies
    0.87
    ification
    0.82
    ifier
    0.80
    mma
    0.80
    ify
    0.76
    Activations Density 0.017%

    No Known Activations