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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. 3-RES-JB
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    Explanations

    references to the Chicago Cubs baseball team

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Chicago Cubs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uters
    -0.84
    tml
    -0.68
     exha
    -0.67
    antly
    -0.67
    ugu
    -0.66
    AFTA
    -0.65
    trak
    -0.64
    ancies
    -0.63
    iary
    -0.62
    arth
    -0.62
    POSITIVE LOGITS
     Cubs
    1.00
     Tribune
    0.78
     Hots
    0.74
     Bears
    0.74
    peed
    0.73
     Rapids
    0.72
    Dex
    0.71
     Stadium
    0.71
     Bulls
    0.71
     Baseball
    0.70
    Activations Density 0.007%

    No Known Activations