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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. 12831
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    INDEX
    Explanations

    numeric information related to quantities and counts

    oai_token-act-pair · gpt-3.5-turbo

    quantitative data related to military losses and aircraft specifications

    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
     Newsletter
    -0.65
    eston
    -0.63
     presumptive
    -0.62
     Huntington
    -0.62
     holiest
    -0.60
     Trader
    -0.59
     hereditary
    -0.59
     Parables
    -0.57
     Darius
    -0.55
     Anthropology
    -0.55
    POSITIVE LOGITS
     respectively
    0.98
     apiece
    0.95
    cill
    0.91
     thereof
    0.81
    pees
    0.75
    ).[
    0.74
    .).
    0.71
     sidx
    0.70
    rosso
    0.67
    ).
    0.66
    Activations Density 0.373%

    No Known Activations