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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. 4-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo

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

    No Comments

    Negative Logits
     Strongh
    -0.69
     Kinn
    -0.68
    Church
    -0.66
     Winc
    -0.65
     Morrow
    -0.65
    Lago
    -0.64
     idle
    -0.62
     shorth
    -0.62
     Crow
    -0.61
     Couch
    -0.60
    POSITIVE LOGITS
    aceutical
    1.04
     breakthrough
    0.90
     biology
    0.87
     neuroscience
    0.86
     biomedical
    0.85
    Chem
    0.84
    ochemistry
    0.81
    ethy
    0.80
     therape
    0.79
    nsics
    0.79
    Activations Density 0.121%

    No Known Activations