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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. 7-RES-JB
    11. 6485
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    Explanations

    mentions of minority groups or related issues

    oai_token-act-pair · gpt-3.5-turbo

    references to minority groups and their experiences

    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
    hran
    -0.90
    DCS
    -0.86
    sis
    -0.80
    æ©
    -0.80
    lov
    -0.80
    odium
    -0.77
    rir
    -0.71
    atche
    -0.70
    hiba
    -0.70
    earchers
    -0.69
    POSITIVE LOGITS
     quarters
    0.82
     genders
    0.74
    ativity
    0.73
     groups
    0.73
     minority
    0.72
     outreach
    0.72
     populations
    0.72
    majority
    0.70
     Territories
    0.69
     males
    0.69
    Activations Density 0.026%

    No Known Activations