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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. 0-RES-JB
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    Explanations

    references to the term "Rush"

    oai_token-act-pair · gpt-3.5-turbo

    references to the author Salman Rushdie

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     decom
    -0.76
    ioch
    -0.75
    utf
    -0.75
     redes
    -0.74
     cig
    -0.74
    thing
    -0.72
    UTF
    -0.71
     cuc
    -0.69
     oct
    -0.69
     UTF
    -0.69
    POSITIVE LOGITS
     Rush
    4.30
    Rush
    3.04
    rush
    1.78
     Limbaugh
    1.68
     rush
    1.67
     Rage
    1.41
     rushes
    1.17
     Rider
    1.00
     Haste
    0.99
     Push
    0.99
    Activations Density 0.012%

    No Known Activations