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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. 4-RES-JB
    6. 3923
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    Explanations

    medical and health-related risk factors or implications

    oai_token-act-pair · gpt-3.5-turbo

    terms related to risk factors and their associations with health issues

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

    No Comments

    Negative Logits
    elf
    -0.85
    Nap
    -0.73
    issance
    -0.72
    ilver
    -0.71
    zeb
    -0.70
     Seasons
    -0.70
    Series
    -0.69
    Bit
    -0.68
     Remastered
    -0.68
    æ©Ł
    -0.67
    POSITIVE LOGITS
     factors
    0.94
     factor
    0.86
     allele
    0.84
     proble
    0.79
     risk
    0.77
     risks
    0.77
     horm
    0.77
     hormones
    0.76
     hazards
    0.75
     alle
    0.74
    Activations Density 0.021%

    No Known Activations