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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. 4-RES-JB
    11. 1187
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    Explanations

    mentions of groups or collections of people

    oai_token-act-pair · gpt-3.5-turbo

    phrases that mention groups of people

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

    No Comments

    Negative Logits
     recip
    -0.76
    ļéĨĴ
    -0.71
     disapp
    -0.68
    quit
    -0.63
    xtap
    -0.63
     paraph
    -0.62
     misunder
    -0.60
     fert
    -0.60
    ibe
    -0.60
    perfect
    -0.60
    POSITIVE LOGITS
     sorts
    0.92
     kindred
    0.70
     Representatives
    0.69
     disparate
    0.66
    edes
    0.66
     volunteers
    0.64
     ours
    0.63
     seats
    0.61
     hers
    0.60
     Senators
    0.60
    Activations Density 0.159%

    No Known Activations