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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. 10-RES-JB
    11. 10566
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    Explanations

    medical conditions or diseases

    oai_token-act-pair · gpt-3.5-turbo

    terms related to diseases and medical conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    assy
    -0.83
    amera
    -0.81
    ramid
    -0.79
    raltar
    -0.77
    ilts
    -0.74
    lus
    -0.72
    )=(
    -0.72
    adesh
    -0.71
    ruce
    -0.70
    riel
    -0.70
    POSITIVE LOGITS
     outbreak
    1.23
     outbreaks
    1.14
     Outbreak
    1.08
     disease
    1.07
     diagnosis
    1.06
     epidem
    1.00
     prevention
    0.99
     plag
    0.98
     susceptibility
    0.97
     remission
    0.97
    Activations Density 0.045%

    No Known Activations