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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. 0-RES-JB
    11. 7648
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    Explanations

    keywords related to restrictions or limitations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to constraints or restrictions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Alive
    -0.71
     Unch
    -0.69
    eal
    -0.66
     Eps
    -0.63
    dot
    -0.63
     Round
    -0.63
    xe
    -0.62
     Wolver
    -0.61
    weet
    -0.60
     Pound
    -0.60
    POSITIVE LOGITS
     limitations
    3.69
     limitation
    3.29
     limits
    2.20
     caveats
    1.95
     constraints
    1.95
     shortcomings
    1.92
     restrictions
    1.83
     drawbacks
    1.80
    Lim
    1.73
     Limits
    1.68
    Activations Density 0.013%

    No Known Activations