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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. 7-RES-JB
    11. 7356
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    Explanations

    mentions of sports teams

    oai_token-act-pair · gpt-3.5-turbo

    repeated occurrences of the word "the."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Conclusion
    -0.77
    ´
    -0.75
    .–
    -0.75
    .-
    -0.74
    strap
    -0.72
    zon
    -0.71
    agree
    -0.70
    NetMessage
    -0.70
    Figure
    -0.69
    *.
    -0.68
    POSITIVE LOGITS
     Clintons
    1.00
     same
    0.99
     aforementioned
    0.98
     famed
    0.93
    ocratic
    0.92
     infamous
    0.92
     prestigious
    0.91
     likes
    0.91
     smallest
    0.91
     longest
    0.91
    Activations Density 0.706%

    No Known Activations