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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. 7-RES-JB
    11. 2982
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    Explanations

    specific citations in a scientific context

    oai_token-act-pair · gpt-3.5-turbo

    references to academic citations or authorship in research articles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     comprom
    -0.82
     Maker
    -0.76
     Username
    -0.71
    FactoryReloaded
    -0.71
     Builder
    -0.63
     Victorian
    -0.61
     USPS
    -0.60
     Chaser
    -0.60
     divest
    -0.58
     dawn
    -0.58
    POSITIVE LOGITS
    .,
    1.27
    ibi
    0.95
    inks
    0.88
    rador
    0.85
    manac
    0.83
    aska
    0.81
    phys
    0.81
    eter
    0.80
    .,"
    0.79
    oha
    0.79
    Activations Density 0.016%

    No Known Activations