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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. 4-RES-JB
    11. 6403
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    INDEX
    Explanations

    quotes and statements made by individuals

    oai_token-act-pair · gpt-3.5-turbo

    the word "said" indicating statements or quotes in discourse

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

    No Comments

    Negative Logits
     ILCS
    -0.86
    otin
    -0.77
    =~=~
    -0.72
    CLA
    -0.69
    thia
    -0.69
    RH
    -0.67
    otion
    -0.66
    physical
    -0.66
    à¦
    -0.65
    CHECK
    -0.64
    POSITIVE LOGITS
     bluntly
    0.90
    doms
    0.85
     goodbye
    0.83
     sarcast
    0.78
     emphatically
    0.76
     afterward
    0.76
     aloud
    0.74
     repeatedly
    0.73
     unequivocally
    0.69
     earlier
    0.68
    Activations Density 0.256%

    No Known Activations