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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 20872
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    Explanations

    medical conditions related to inflammation

    oai_token-act-pair · gpt-3.5-turbo

    words related to health conditions and injuries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     conclusion
    -0.72
     intervals
    -0.70
     review
    -0.70
     pole
    -0.70
     poles
    -0.70
     initiation
    -0.65
     Fin
    -0.64
     Quit
    -0.63
     buckle
    -0.63
     premises
    -0.62
    POSITIVE LOGITS
    amed
    4.52
    aming
    2.62
    ames
    2.09
    ame
    1.80
    ammed
    1.64
    amer
    1.58
    ams
    1.53
    AMES
    1.51
    AME
    1.49
    ammad
    1.46
    Activations Density 0.005%

    No Known Activations