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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. 8-RES-JB
    11. 8420
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    Explanations

    proper names

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals, particularly in the context of sports and entertainment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     camel
    -0.78
     td
    -0.75
    adesh
    -0.73
     tc
    -0.68
     gateway
    -0.65
    kaya
    -0.63
    Demand
    -0.63
     hijab
    -0.63
    apore
    -0.63
     childbirth
    -0.62
    POSITIVE LOGITS
     Snyder
    1.14
     Whitman
    1.08
     Simmons
    1.06
     Schr
    1.06
     Goodell
    1.03
     Rogers
    1.02
     Smith
    1.00
     McMahon
    0.97
     McCoy
    0.96
     Berman
    0.96
    Activations Density 0.073%

    No Known Activations