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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. 0-RES-JB
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    Explanations

    names of famous sports personalities

    oai_token-act-pair · gpt-3.5-turbo

    names of notable figures and organizations in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Mal
    -0.78
     Pil
    -0.78
    Sal
    -0.78
    itan
    -0.77
    hun
    -0.76
     HUN
    -0.74
     Mort
    -0.73
     sher
    -0.73
    hus
    -0.73
     }}
    -0.72
    POSITIVE LOGITS
     Donovan
    2.19
     TTC
    1.75
     Gerrard
    1.62
     Dund
    1.58
     Vaughan
    1.55
     Raptors
    1.50
     Kee
    1.31
     Lowry
    1.30
    Toronto
    1.27
     Scarborough
    1.23
    Activations Density 0.062%

    No Known Activations