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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

    phrases related to profiling based on race or characteristics in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to racial profiling and its implications

    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
    imar
    -0.77
    pite
    -0.76
    ership
    -0.75
    女
    -0.72
    ergic
    -0.71
    essa
    -0.71
    isphere
    -0.70
    yth
    -0.69
    orship
    -0.69
    iga
    -0.68
    POSITIVE LOGITS
    DEN
    0.89
     profiling
    0.87
     Duffy
    0.74
    schild
    0.68
     stalking
    0.67
    walking
    0.67
     Emin
    0.65
     Kelley
    0.65
     Mesh
    0.65
     Kislyak
    0.64
    Activations Density 0.032%

    No Known Activations