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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. 2-RES-JB
    11. 1589
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    names, particularly female names, indicating a focus on individuals in a narrative context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    heimer
    -0.85
    byter
    -0.73
    igo
    -0.72
    nesses
    -0.70
    idious
    -0.69
    uber
    -0.69
    unin
    -0.68
    juven
    -0.68
    commit
    -0.68
    hire
    -0.67
    POSITIVE LOGITS
     Sue
    0.97
     Lynn
    0.95
     Denise
    0.86
     Veronica
    0.85
     Crawford
    0.85
     Betty
    0.83
     Jane
    0.83
     Mae
    0.82
     Michelle
    0.82
     Kate
    0.81
    Activations Density 0.026%

    No Known Activations