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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. 9-RES-JB
    11. 5017
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    Explanations

    terms related to medical conditions, particularly diseases

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    adra
    -0.77
    raltar
    -0.76
    ilts
    -0.76
    ramid
    -0.76
    arta
    -0.76
    assy
    -0.75
    amera
    -0.75
    adesh
    -0.75
    ruce
    -0.73
    ensions
    -0.70
    POSITIVE LOGITS
     outbreak
    1.20
     outbreaks
    1.12
     epidem
    1.02
     disease
    1.00
     prevention
    0.98
     diagnosis
    0.97
     Outbreak
    0.96
     remission
    0.94
     epidemic
    0.93
     incidence
    0.92
    Activations Density 0.051%

    No Known Activations