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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. 9-RES-JB
    11. 23304
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    Explanations

    phrases related to improvement or enhancement

    oai_token-act-pair · gpt-3.5-turbo

    references to improvements or enhancements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    NetMessage
    -0.68
     Pione
    -0.67
    Ru
    -0.64
     Crawford
    -0.64
     Straw
    -0.62
     Dresden
    -0.62
    erity
    -0.61
    sup
    -0.60
    ategory
    -0.60
    cano
    -0.60
    POSITIVE LOGITS
     than
    1.15
     suited
    1.03
     behaved
    1.01
     acquainted
    0.94
    than
    0.94
    ment
    0.90
     Than
    0.86
     understanding
    0.86
    iating
    0.83
     quality
    0.79
    Activations Density 0.066%

    No Known Activations