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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 17766
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    Explanations

    words ending in "-men" or "-man."

    oai_token-act-pair · gpt-3.5-turbo

    references to males or male groups in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     balance
    -0.70
     outgoing
    -0.65
     exception
    -0.62
     energetic
    -0.59
     unexpected
    -0.59
     cheek
    -0.59
     Wiley
    -0.56
     identifiable
    -0.55
     prism
    -0.54
     overw
    -0.54
    POSITIVE LOGITS
    men
    4.42
    mens
    2.44
    MEN
    2.41
    man
    2.40
    women
    2.37
    woman
    2.24
    manship
    2.09
    mans
    2.08
    Men
    1.82
    people
    1.81
    Activations Density 0.011%

    No Known Activations