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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
    11. 14657
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    Explanations

    references to groups of people

    oai_token-act-pair · gpt-3.5-turbo

    references to "people"

    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
    aqu
    -0.68
    /#
    -0.68
    rix
    -0.66
     Provided
    -0.65
    cum
    -0.64
    ãĤ´ãĥ³
    -0.63
    pole
    -0.62
    grade
    -0.61
    gradient
    -0.60
    mol
    -0.60
    POSITIVE LOGITS
     people
    3.00
    people
    2.41
    People
    2.14
     folks
    2.10
     PEOPLE
    2.04
     People
    2.00
     peoples
    1.98
     individuals
    1.81
     persons
    1.74
     guys
    1.60
    Activations Density 0.120%

    No Known Activations