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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. 6-RES-JB
    11. 13610
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    Explanations

    words related to health risks and medical conditions

    oai_token-act-pair · gpt-3.5-turbo

    statements related to risk factors for various health conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    issance
    -0.87
     Remastered
    -0.79
    ilver
    -0.77
    elf
    -0.77
    SEC
    -0.69
     Seasons
    -0.68
    MX
    -0.66
    Nap
    -0.65
    endment
    -0.64
    steel
    -0.63
    POSITIVE LOGITS
     factors
    0.88
     allele
    0.82
     factor
    0.81
     mortality
    0.76
     predis
    0.73
     Factors
    0.73
    ogenic
    0.72
     carcin
    0.72
     reduction
    0.72
    busters
    0.70
    Activations Density 0.034%

    No Known Activations