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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. 17164
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    Explanations

    terms related to diseases and health conditions

    oai_token-act-pair · gpt-3.5-turbo

    references to various 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
    ilts
    -0.78
    ruce
    -0.76
    assy
    -0.75
    adesh
    -0.75
    endas
    -0.74
    adra
    -0.74
    arta
    -0.74
    raltar
    -0.71
    anian
    -0.70
    estones
    -0.70
    POSITIVE LOGITS
     Immun
    0.97
     disease
    0.94
     outbreak
    0.92
     diseases
    0.90
     outbreaks
    0.90
     prevention
    0.89
     Outbreak
    0.86
     Disease
    0.82
     remission
    0.79
     infections
    0.78
    Activations Density 0.023%

    No Known Activations