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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. 9-RES-JB
    11. 14014
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    Explanations

    proper names, especially those of individuals

    oai_token-act-pair · gpt-3.5-turbo

    names of prominent individuals, particularly those in politics and media

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    */(
    -0.94
    kr
    -0.74
    unin
    -0.73
    imates
    -0.70
    76561
    -0.70
    itech
    -0.69
    raviolet
    -0.67
    ife
    -0.66
    cair
    -0.65
    llers
    -0.64
    POSITIVE LOGITS
     Feinstein
    0.88
    ial
    0.85
    flower
    0.83
     DeVos
    0.74
    elta
    0.68
     Rockefeller
    0.67
    omething
    0.67
     Chao
    0.67
    frey
    0.67
     Burr
    0.66
    Activations Density 0.102%

    No Known Activations