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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. 9-RES-JB
    11. 4888
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    Explanations

    phrases related to references, acknowledgments, or citations

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating references or relationships

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Solitaire
    -0.80
    iphany
    -0.77
    artifacts
    -0.74
    dos
    -0.73
     Chimera
    -0.68
    isine
    -0.67
     FANTASY
    -0.67
     MARK
    -0.66
     Revival
    -0.65
     Moves
    -0.65
    POSITIVE LOGITS
     indebted
    0.85
     reply
    0.81
     plead
    0.75
     replied
    0.75
     aspire
    0.74
     allegiance
    0.73
    ributes
    0.71
     replies
    0.71
     accustomed
    0.70
     unres
    0.69
    Activations Density 0.135%

    No Known Activations