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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. 14732
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    Explanations

    medical or scientific terms related to research, findings, and potential treatments

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating research findings and their implications for health and disease

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
     piss
    -0.76
    shit
    -0.71
    ontent
    -0.70
     Titus
    -0.69
     Hust
    -0.68
     Voters
    -0.67
    spir
    -0.66
     Corker
    -0.66
    fell
    -0.66
     pissed
    -0.66
    POSITIVE LOGITS
     biomedical
    1.50
     therape
    1.49
     therapies
    1.38
     clinicians
    1.26
     neuroscience
    1.24
     therapeutic
    1.23
     biom
    1.20
     molecular
    1.19
     treatments
    1.10
     scientifically
    1.09
    Activations Density 0.583%

    No Known Activations