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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. 7-RES-JB
    11. 5117
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    Explanations

    terms related to various diseases or medical conditions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various diseases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ilts
    -0.80
    adesh
    -0.78
    assy
    -0.78
    ramid
    -0.77
    ruce
    -0.76
    arta
    -0.74
    endas
    -0.74
    raltar
    -0.72
    adra
    -0.68
     dstg
    -0.67
    POSITIVE LOGITS
     outbreak
    1.01
     disease
    0.99
     Immun
    0.95
     diseases
    0.93
     outbreaks
    0.92
     prevention
    0.91
     Outbreak
    0.87
     epidem
    0.86
     plague
    0.84
     Disease
    0.84
    Activations Density 0.021%

    No Known Activations