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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. 6-RES-JB
    6. 21420
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    Explanations

    medical conditions and disorders

    oai_token-act-pair · gpt-3.5-turbo

    terms related to medical conditions and diseases

    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
     loudspe
    -0.90
     desks
    -0.86
     microphones
    -0.83
    posts
    -0.82
     rooft
    -0.77
    åħī
    -0.77
     Vote
    -0.76
    xtap
    -0.74
     Industries
    -0.73
     Companies
    -0.72
    POSITIVE LOGITS
     symptoms
    1.48
     Symptoms
    1.35
     neurological
    1.31
     disease
    1.27
     relapse
    1.27
     inflammation
    1.23
     illness
    1.22
    ptoms
    1.22
     symptom
    1.20
     illnesses
    1.19
    Activations Density 0.560%

    No Known Activations