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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. 6-RES-JB
    11. 12225
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    Explanations

    references to specific publications or journals

    oai_token-act-pair · gpt-3.5-turbo

    references to editorial content and issues in publications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    stem
    -0.76
    plant
    -0.72
    onics
    -0.70
     chimpanzees
    -0.69
    agine
    -0.68
    frog
    -0.67
    aun
    -0.65
    gging
    -0.65
    cffffcc
    -0.63
     pathway
    -0.62
    POSITIVE LOGITS
     newspapers
    1.14
    Journal
    1.07
     journals
    1.03
     Gazette
    1.00
     newspaper
    0.95
     publications
    0.94
     magazines
    0.93
     Publications
    0.90
     pages
    0.89
     Digest
    0.89
    Activations Density 0.191%

    No Known Activations