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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. 5303
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    INDEX
    Explanations

    instances where the text emphasizes the importance of concentrating or redirecting attention

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize prioritizing attention or effort

    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
    addin
    -0.67
    anka
    -0.66
    posted
    -0.63
     Gleaming
    -0.62
    é¾įå
    -0.62
    named
    -0.61
    OUGH
    -0.60
    anne
    -0.59
    opus
    -0.59
    interstitial
    -0.59
    POSITIVE LOGITS
     attention
    1.14
     solely
    1.11
     squarely
    1.05
     exclusively
    1.01
     attent
    1.00
     on
    0.99
     primarily
    0.94
     upon
    0.91
     Attention
    0.91
     mainly
    0.87
    Activations Density 0.049%

    No Known Activations