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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. 6-RES-JB
    11. 7871
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    Explanations

    phrases or sentences including both 'men' and 'women'

    oai_token-act-pair · gpt-3.5-turbo

    consistent references to groups, specifically emphasizing the presence of men and women together

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Prol
    -0.77
    Contents
    -0.75
    actory
    -0.72
    :[
    -0.71
    ciation
    -0.69
    RP
    -0.68
     Collider
    -0.67
    GMT
    -0.66
    :(
    -0.65
    antage
    -0.61
    POSITIVE LOGITS
     minorities
    0.79
     vice
    0.76
     toddlers
    0.73
     assorted
    0.71
    gans
    0.71
     infants
    0.71
     mothers
    0.70
     grandchildren
    0.70
     unborn
    0.69
     other
    0.69
    Activations Density 0.198%

    No Known Activations