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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. 8-RES-JB
    11. 23913
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    key points or conclusions in a summary format

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Replay
    -0.60
     scares
    -0.60
     Stacy
    -0.58
     Marketplace
    -0.58
     Shark
    -0.56
     cheering
    -0.55
     Royale
    -0.55
    Finish
    -0.55
     Jazeera
    -0.54
     Oscars
    -0.54
    POSITIVE LOGITS
     largeDownload
    0.87
     embodiments
    0.83
     ILCS
    0.80
     Suppose
    0.79
     thence
    0.79
     theorem
    0.76
     Allaah
    0.75
     secondly
    0.74
     Ibid
    0.73
    FIG
    0.72
    Activations Density 0.847%

    No Known Activations