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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. 3495
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    INDEX
    Explanations

    references to locations or places

    oai_token-act-pair · gpt-3.5-turbo

    indications of violence or criminal activity

    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
    NASA
    -0.88
    CNN
    -0.85
    azeera
    -0.81
    WASHINGTON
    -0.78
    braska
    -0.77
    Britain
    -0.76
    Syria
    -0.75
    olkien
    -0.74
    agu
    -0.74
    20439
    -0.73
    POSITIVE LOGITS
     patrons
    1.65
     customers
    1.56
     propriet
    1.52
     employees
    1.52
     regulars
    1.42
     customer
    1.42
     staff
    1.37
     employee
    1.35
     Customers
    1.28
     guests
    1.28
    Activations Density 0.635%

    No Known Activations