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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. 7901
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    Explanations

    phrases related to the impact on people's lives or livelihoods

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe the identities and well-being of individuals or groups

    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
    cano
    -0.80
    iasm
    -0.77
    pmwiki
    -0.75
    clair
    -0.74
    iHUD
    -0.72
    ucc
    -0.71
    phabet
    -0.71
    avascript
    -0.69
     largeDownload
    -0.69
    etsk
    -0.69
    POSITIVE LOGITS
     individuals
    0.95
     those
    0.81
     Individuals
    0.77
     everyone
    0.75
     each
    0.75
     citizens
    0.75
     minorities
    0.74
     humankind
    0.74
     persons
    0.70
     foreigners
    0.69
    Activations Density 0.206%

    No Known Activations