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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. 2-RES-JB
    11. 18248
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    INDEX
    Explanations

    proper nouns or names, particularly with a focus on "Xin" and "Jin"

    oai_token-act-pair · gpt-3.5-turbo

    references to specific news agencies and their associated terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sburgh
    -1.11
    enegger
    -0.85
    inctions
    -0.80
    Ö¼
    -0.76
    perature
    -0.71
    wagen
    -0.69
    awaru
    -0.68
    enance
    -0.66
    ODUCT
    -0.65
    sky
    -0.65
    POSITIVE LOGITS
     Xin
    1.27
    jiang
    1.23
    hua
    1.03
    jin
    0.87
     Jinping
    0.83
     rall
    0.80
     Hua
    0.80
     Zhao
    0.79
    wei
    0.79
     Xiang
    0.78
    Activations Density 0.008%

    No Known Activations