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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. 10-RES-JB
    11. 5753
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    INDEX
    Explanations

    social, demographic, or action-related terms denoting involvement or change

    oai_token-act-pair · gpt-3.5-turbo

    references to groups of people and collective experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    =/
    -0.66
    =-=-=-=-=-=-=-=-
    -0.65
    aco
    -0.62
    aurus
    -0.61
    angelo
    -0.60
    ãģĻ
    -0.59
     Corpus
    -0.59
    isi
    -0.59
     Scrib
    -0.58
    cgi
    -0.58
    POSITIVE LOGITS
     disillusion
    0.98
     unaware
    0.95
     resent
    0.92
     mistakenly
    0.91
     misconceptions
    0.91
     understandably
    0.90
     simply
    0.88
     unhappy
    0.85
     opting
    0.84
     unwittingly
    0.84
    Activations Density 0.266%

    No Known Activations