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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. 3-RES-JB
    11. 384
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    Explanations

    phrases related to technical terms and abbreviations

    oai_token-act-pair · gpt-3.5-turbo

    references to specific organizations or entities, particularly those abbreviated as "NS" or related to "NK"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icago
    -0.82
    standing
    -0.75
    âĸ¬âĸ¬
    -0.71
    oise
    -0.68
    teen
    -0.67
    gered
    -0.66
    iated
    -0.64
    wig
    -0.63
    à¨
    -0.63
    ths
    -0.62
    POSITIVE LOGITS
    FW
    1.29
    BM
    0.87
    KB
    0.81
    HT
    0.81
    AAF
    0.81
    IJ
    0.80
    ERC
    0.79
    FG
    0.77
     NS
    0.76
    IRO
    0.75
    Activations Density 0.004%

    No Known Activations