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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. 9-RES-JB
    11. 17306
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    INDEX
    Explanations

    references to statements or comments made by spokespersons of various companies or organizations

    oai_token-act-pair · gpt-3.5-turbo

    statements or quotes from representatives or spokespersons of companies or organizations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.86
     doom
    -0.82
     apocalyptic
    -0.70
    iddler
    -0.65
     Dare
    -0.64
     Hardcore
    -0.64
     Despair
    -0.63
     charisma
    -0.63
     glim
    -0.62
    ãĤ¼ãĤ¦ãĤ¹
    -0.61
    POSITIVE LOGITS
     apologised
    0.90
     briefed
    0.83
    ©¶æ
    0.82
     unaffected
    0.78
     reviewed
    0.77
     consulted
    0.76
     apologise
    0.75
    Statement
    0.75
     employee
    0.74
    review
    0.74
    Activations Density 0.509%

    No Known Activations