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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. 4-RES-JB
    11. 13460
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    Explanations

    medical and biological terms related to conditions such as illnesses and health issues

    oai_token-act-pair · gpt-3.5-turbo

    medical conditions and associations involving underlying health issues

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

    No Comments

    Negative Logits
    Lenin
    -0.80
    Contract
    -0.78
    Unity
    -0.74
    ulhu
    -0.73
    raid
    -0.70
    Forge
    -0.69
    ouses
    -0.68
    Town
    -0.68
     swamp
    -0.68
    Land
    -0.68
    POSITIVE LOGITS
    âĢIJ
    0.94
     lect
    0.80
     âĪ¼
    0.78
     therapeutic
    0.76
     pollen
    0.72
     ment
    0.71
     phenotype
    0.70
     genetically
    0.70
     cyt
    0.70
     clin
    0.70
    Activations Density 0.812%

    No Known Activations