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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. 0-RES-JB
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    Explanations

    mentions of the term "Men" with varying emphases

    oai_token-act-pair · gpt-3.5-turbo

    references to "X-Men" 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
     bye
    -0.72
     choke
    -0.70
     sprink
    -0.68
     certification
    -0.65
     pure
    -0.65
     wind
    -0.64
     neighbor
    -0.64
     current
    -0.64
     adoption
    -0.63
     GM
    -0.63
    POSITIVE LOGITS
    Men
    3.86
    MEN
    2.13
    Women
    1.98
    men
    1.54
    Girls
    1.47
    women
    1.44
     Men
    1.42
    Male
    1.36
    Files
    1.33
    Woman
    1.32
    Activations Density 0.017%

    No Known Activations