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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 15009
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    Explanations

    phrases or excerpts that are used to summarize or provide an overview of a situation or event

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate summarization or conclusion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     booted
    -0.65
    ometers
    -0.63
    PAC
    -0.62
    ometer
    -0.62
    grounds
    -0.62
     footing
    -0.60
    hement
    -0.59
     inhibitor
    -0.59
     certific
    -0.58
    entimes
    -0.57
    POSITIVE LOGITS
    Quotes
    0.87
     quotes
    0.75
     phrases
    0.73
     quotation
    0.71
     pronoun
    0.69
     concise
    0.69
    ript
    0.68
     succinct
    0.68
     pertinent
    0.67
     quotations
    0.66
    Activations Density 0.471%

    No Known Activations