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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. 3-RES-JB
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    Explanations

    references to discrimination and actions against specific groups or individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to discrimination or opposition against various groups or individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ERN
    -0.83
     refresh
    -0.76
    UNCH
    -0.72
     Refresh
    -0.70
    INC
    -0.70
    orah
    -0.68
    ynthesis
    -0.66
     stead
    -0.66
    kj
    -0.66
    OUN
    -0.66
    POSITIVE LOGITS
     slurs
    0.98
     stereotypes
    0.96
     prejudice
    0.94
     stereotyp
    0.92
     prejud
    0.90
     bullies
    0.88
     minorities
    0.86
     unfairly
    0.85
     stereotype
    0.84
     discriminatory
    0.83
    Activations Density 0.140%

    No Known Activations