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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. 6-RES-JB
    11. 17076
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    Explanations

    names of individuals involved in various news stories

    oai_token-act-pair · gpt-3.5-turbo

    names of notable individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Maria
    -0.77
    į
    -0.73
    ference
    -0.67
    Els
    -0.67
    uate
    -0.65
    LR
    -0.63
    cp
    -0.62
    cknowled
    -0.62
    Laura
    -0.61
    omatic
    -0.60
    POSITIVE LOGITS
     Sr
    0.89
    ovich
    0.81
     Jr
    0.79
    enegger
    0.78
     III
    0.74
     QC
    0.72
     campaigned
    0.69
     imperson
    0.69
    agher
    0.68
     uttered
    0.66
    Activations Density 0.132%

    No Known Activations