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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. 23321
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    INDEX
    Explanations

    economic and statistical data

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics related to consumption and rates

    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
     tink
    -0.88
     interf
    -0.78
     someday
    -0.77
     cloning
    -0.76
     interfering
    -0.76
     reneg
    -0.73
     meddling
    -0.73
     escaping
    -0.73
     eaves
    -0.72
     interrog
    -0.72
    POSITIVE LOGITS
    Percent
    1.76
    Average
    1.61
    Total
    1.48
    Rank
    1.47
    Year
    1.47
    Number
    1.42
     Percentage
    1.39
    Chart
    1.38
    Population
    1.37
    Avg
    1.35
    Activations Density 0.365%

    No Known Activations