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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. 11063
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    INDEX
    Explanations

    phrases related to work performance and productivity

    oai_token-act-pair · gpt-3.5-turbo

    statements indicating achievement or recognition

    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
    escription
    -0.79
    DM
    -0.70
     awaiting
    -0.68
    alli
    -0.66
     )]
    -0.65
    icipated
    -0.63
    iquette
    -0.63
    Reviewer
    -0.63
    staking
    -0.63
    sburg
    -0.62
    POSITIVE LOGITS
     absurdity
    0.76
    zsche
    0.68
     nano
    0.66
     intersect
    0.66
     Contrast
    0.66
    chwitz
    0.65
     incomprehensible
    0.65
     disproportion
    0.64
     Compare
    0.63
     Hier
    0.63
    Activations Density 0.358%

    No Known Activations