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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. 2-RES-JB
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    Explanations

    names of specific individuals, possibly related to sports

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals, particularly in a sports context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eworthy
    -0.76
     Investigator
    -0.75
    ŀ
    -0.71
    taboola
    -0.71
     Dragonbound
    -0.67
    icter
    -0.66
    fm
    -0.64
    said
    -0.64
    ads
    -0.63
    spring
    -0.63
    POSITIVE LOGITS
     Upton
    1.34
    minster
    0.86
     Sinclair
    0.85
     mosqu
    0.78
    stadt
    0.78
    querque
    0.72
    ufact
    0.71
     Vernon
    0.70
    sburg
    0.69
     Polo
    0.68
    Activations Density 0.003%

    No Known Activations