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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    references to a specific person named "Rap" at different levels of significance or prominence

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the character Rapunzel

    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
     Yankee
    -0.73
     Samar
    -0.69
     phyl
    -0.69
     ana
    -0.69
    ````
    -0.69
     Kyoto
    -0.66
     Columb
    -0.66
     convincing
    -0.65
     snail
    -0.64
    âĸijâĸij
    -0.62
    POSITIVE LOGITS
     Rap
    0.99
    hett
    0.95
    Rap
    0.94
    imilation
    0.93
    quel
    0.93
    ograph
    0.90
    enh
    0.89
    acious
    0.88
    aic
    0.88
    ett
    0.87
    Activations Density 0.007%

    No Known Activations