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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. 8597
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    Explanations

    medical conditions and legal terms

    oai_token-act-pair · gpt-3.5-turbo

    references to specific types and classifications of diabetes and drugs

    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
    mosp
    -0.80
    iston
    -0.70
    netflix
    -0.69
    ograp
    -0.69
    isman
    -0.68
    uploads
    -0.67
    wright
    -0.67
    ameless
    -0.67
    juries
    -0.66
    atz
    -0.65
    POSITIVE LOGITS
     inhibitors
    0.86
     inhibitor
    0.85
    +,
    0.85
    +.
    0.78
     designation
    0.78
     diabetes
    0.70
     metab
    0.70
    +)
    0.70
     occupancy
    0.69
     Intermediate
    0.69
    Activations Density 0.078%

    No Known Activations