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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. 7-RES-JB
    6. 4250
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    Explanations

    phrases related to advocating for rights and choices, particularly in the context of healthcare and consumer decisions

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to consumer rights and choices

    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
     predecessor
    -0.73
    catentry
    -0.67
     announces
    -0.66
    imental
    -0.65
     presided
    -0.65
     Tarant
    -0.64
    Stretch
    -0.64
     interviewer
    -0.63
     Rug
    -0.62
    player
    -0.62
    POSITIVE LOGITS
     access
    1.02
     accessing
    0.94
     protections
    0.78
     healthcare
    0.71
     lifestyles
    0.71
     healthier
    0.71
    access
    0.71
     ingest
    0.70
    imity
    0.69
     livelihood
    0.69
    Activations Density 0.520%

    No Known Activations