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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. 5135
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    Explanations

    phrases about individuals known for their accomplishments or roles in different industries

    oai_token-act-pair · gpt-3.5-turbo

    references to notable individuals and their achievements

    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
     disadvant
    -0.78
    Answer
    -0.74
    alion
    -0.66
    ogether
    -0.66
    matter
    -0.65
    Instead
    -0.63
    imester
    -0.62
    ebin
    -0.61
    respond
    -0.60
    morrow
    -0.60
    POSITIVE LOGITS
     legendary
    0.85
     acclaimed
    0.80
     pioneering
    0.78
     classics
    0.77
     famed
    0.75
     iconic
    0.74
     legends
    0.71
     beloved
    0.70
     renowned
    0.70
     cult
    0.69
    Activations Density 0.736%

    No Known Activations