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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. 8-RES-JB
    11. 24429
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    Explanations

    phrases related to race and ethnicity

    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 @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Thunder
    -0.76
    rament
    -0.74
    spring
    -0.73
    leys
    -0.73
    Spring
    -0.72
    Av
    -0.72
    ãĥ¼ãĥĨãĤ£
    -0.72
    KEN
    -0.71
    Spl
    -0.70
    Fall
    -0.70
    POSITIVE LOGITS
     who
    0.96
     incarcerated
    0.88
     residing
    0.84
     deported
    0.82
     living
    0.78
     whom
    0.76
     victimized
    0.74
     navigating
    0.73
     whose
    0.73
     oppressed
    0.73
    Activations Density 0.087%

    No Known Activations