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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. 7-RES-JB
    11. 9891
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    INDEX
    Explanations

    companies or organizations and their related activities or information

    oai_token-act-pair · gpt-3.5-turbo

    references to companies and their activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     prol
    -0.74
     regress
    -0.72
     readings
    -0.70
    poral
    -0.69
     coma
    -0.69
    leys
    -0.65
    ammu
    -0.65
     vomiting
    -0.64
    jri
    -0.63
     boredom
    -0.62
    POSITIVE LOGITS
     subsidiaries
    1.31
     headquartered
    1.14
     subsidiary
    0.96
     manufactures
    0.96
     profit
    0.92
     subcontract
    0.90
    DAQ
    0.90
     Ltd
    0.90
     Cosponsors
    0.89
     employee
    0.87
    Activations Density 0.782%

    No Known Activations