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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. 12-RES-JB
    11. 3536
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    Explanations

    words related to sports teams and games

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    team names and associated statistics in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    advertisement
    -0.76
    ertodd
    -0.73
    ibaba
    -0.73
    ipel
    -0.71
    inar
    -0.70
    mop
    -0.69
     Shutterstock
    -0.68
    âĶģ
    -0.67
    Í
    -0.67
    morph
    -0.66
    POSITIVE LOGITS
     enters
    1.03
     hasn
    1.02
     waived
    1.02
     parted
    0.98
     expects
    0.98
     welcomes
    0.97
     defeated
    0.96
     coach
    0.95
     opens
    0.95
     prevailed
    0.95
    Activations Density 0.213%

    No Known Activations