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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. 11-RES-JB
    11. 2294
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    Explanations

    references to feeding, food, and nourishment

    oai_token-act-pair · gpt-3.5-turbo

    terms related to feeding or the concept of sustenance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    istically
    -0.73
    pp
    -0.68
     exorc
    -0.63
    isman
    -0.62
    ismo
    -0.62
    iami
    -0.62
     tallest
    -0.61
    oppable
    -0.61
     Architects
    -0.60
    ident
    -0.60
    POSITIVE LOGITS
    parser
    1.10
    stocks
    1.02
    forward
    0.97
     frenzy
    0.95
     feeds
    0.94
    stock
    0.93
    feed
    0.90
     fed
    0.90
    fed
    0.89
    lot
    0.89
    Activations Density 0.050%

    No Known Activations