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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

    mentions of the word "Ladies"

    oai_token-act-pair · gpt-3.5-turbo

    references to "ladies" and "gentlemen" in various contexts

    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
    osta
    -0.77
    rador
    -0.72
    rior
    -0.70
    orter
    -0.69
    onent
    -0.66
    avanaugh
    -0.66
    uilt
    -0.66
    arser
    -0.65
    enf
    -0.65
    ritic
    -0.64
    POSITIVE LOGITS
     ladies
    0.92
     Ladies
    0.87
     gentlemen
    0.80
    women
    0.76
    folk
    0.74
    ãĤ¤ãĥĪ
    0.71
    ieve
    0.70
     Jagu
    0.68
    men
    0.68
     diapers
    0.68
    Activations Density 0.011%

    No Known Activations