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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. 4-RES-JB
    11. 8527
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    Explanations

    references to the University of Notre Dame

    oai_token-act-pair · gpt-3.5-turbo

    references to "Dame" and its variations in academic or sporting contexts

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

    No Comments

    Negative Logits
    served
    -0.75
    è¦ļéĨĴ
    -0.67
    oids
    -0.65
    oid
    -0.65
    ulated
    -0.63
     drip
    -0.63
    animate
    -0.63
     capacities
    -0.63
     modifiers
    -0.62
     medium
    -0.62
    POSITIVE LOGITS
     Dame
    1.09
     Fighting
    0.89
    IDA
    0.85
     ................
    0.83
     Volunteers
    0.78
     Hath
    0.77
     Wildcats
    0.77
    hurst
    0.77
     Laure
    0.74
     Stadium
    0.74
    Activations Density 0.009%

    No Known Activations