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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. 4-RES-JB
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    Explanations

    mentions of people of color

    oai_token-act-pair · gpt-3.5-turbo

    references to people of color

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

    No Comments

    Negative Logits
    EMS
    -0.74
    INGTON
    -0.72
    OTAL
    -0.71
    Xi
    -0.70
    WAR
    -0.69
    ETF
    -0.68
     Niet
    -0.68
     Nex
    -0.68
    ODUCT
    -0.67
    Ent
    -0.66
    POSITIVE LOGITS
    anguage
    0.95
    blind
    0.93
    ="#
    0.79
    xual
    0.78
     color
    0.78
    print
    0.77
     slurs
    0.75
     colored
    0.74
    color
    0.73
     palette
    0.72
    Activations Density 0.011%

    No Known Activations